|
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Hermes-2-Pro-Llama-3-8B --quantization q4f32_1 --conv-template llama-3 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
[2024-06-04 03:21:43] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json |
|
[2024-06-04 03:21:43] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
|
[2024-06-04 03:21:43] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) |
|
[2024-06-04 03:21:43] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
|
[2024-06-04 03:21:43] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
|
[2024-06-04 03:21:43] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 128000 |
|
[2024-06-04 03:21:43] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: 128003 |
|
[2024-06-04 03:21:43] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.model |
|
[2024-06-04 03:21:43] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/tokenizer.json[0m |
|
[2024-06-04 03:21:43] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/vocab.json |
|
[2024-06-04 03:21:43] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/merges.txt |
|
[2024-06-04 03:21:43] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/added_tokens.json |
|
[2024-06-04 03:21:43] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/tokenizer_config.json[0m |
|
[2024-06-04 03:21:43] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mpad_token_id[0m: 0 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mrepetition_penalty[0m: 1.0 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mtop_p[0m: 1.0 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mmean_gen_len[0m: 128 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mmax_gen_len[0m: 512 |
|
[2024-06-04 03:21:43] INFO gen_config.py:32: [System default] Setting [1mshift_fill_factor[0m: 0.3 |
|
[2024-06-04 03:21:43] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/mlc-chat-config.json[0m |
|
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Hermes-2-Pro-Llama-3-8B --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
[2024-06-04 03:21:45] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json |
|
[2024-06-04 03:21:46] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
|
[2024-06-04 03:21:48] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 |
|
[2024-06-04 03:21:49] INFO auto_device.py:88: [91mNot found[0m device: metal:0 |
|
[2024-06-04 03:21:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 |
|
[2024-06-04 03:21:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 |
|
[2024-06-04 03:21:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 |
|
[2024-06-04 03:21:51] INFO auto_device.py:79: [92mFound[0m device: vulkan:3 |
|
[2024-06-04 03:21:52] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 |
|
[2024-06-04 03:21:52] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
|
[2024-06-04 03:21:52] INFO auto_weight.py:71: Finding weights in: /models/Hermes-2-Pro-Llama-3-8B |
|
[2024-06-04 03:21:52] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
|
[2024-06-04 03:21:52] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json |
|
[2024-06-04 03:21:52] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json[0m. Use `--source` to override. |
|
[2024-06-04 03:21:52] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
|
[2024-06-04 03:21:52] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
|
[2024-06-04 03:21:52] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) |
|
[2024-06-04 03:21:52] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
|
[1mWeight conversion with arguments:[0m |
|
[1m--config[0m /models/Hermes-2-Pro-Llama-3-8B/config.json |
|
[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7) |
|
[1m--model-type[0m llama |
|
[1m--device[0m cuda:0 |
|
[1m--source[0m /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json |
|
[1m--source-format[0m huggingface-safetensor |
|
[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
0%| | 0/195 [00:00<?, ?it/s]
[2024-06-04 03:21:56] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00004-of-00004.safetensors |
|
0%| | 0/195 [00:00<?, ?it/s]
[2024-06-04 03:22:00] INFO group_quantization.py:217: Compiling quantize function for key: ((128288, 4096), float32, cuda, axis=1, output_transpose=False) |
|
0%| | 0/195 [00:03<?, ?it/s]
[2024-06-04 03:22:00] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (128288, 512), dtype: uint32 |
|
0%| | 0/195 [00:04<?, ?it/s]
[2024-06-04 03:22:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (128288, 128), dtype: float32 |
|
0%| | 0/195 [00:04<?, ?it/s]
1%| | 1/195 [00:05<16:26, 5.08s/it]
[2024-06-04 03:22:01] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.31.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
1%| | 1/195 [00:05<16:26, 5.08s/it]
[2024-06-04 03:22:01] INFO group_quantization.py:217: Compiling quantize function for key: ((4096, 14336), float32, cuda, axis=1, output_transpose=False) |
|
1%| | 1/195 [00:05<16:26, 5.08s/it]
[2024-06-04 03:22:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
1%| | 1/195 [00:05<16:26, 5.08s/it]
[2024-06-04 03:22:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
1%| | 1/195 [00:05<16:26, 5.08s/it]
2%|β | 3/195 [00:05<05:06, 1.59s/it]
[2024-06-04 03:22:02] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.31.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
2%|β | 3/195 [00:05<05:06, 1.59s/it]
[2024-06-04 03:22:02] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (4096,), dtype: float32 |
|
2%|β | 3/195 [00:05<05:06, 1.59s/it]
[2024-06-04 03:22:02] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00004-of-00004.safetensors |
|
2%|β | 3/195 [00:05<05:06, 1.59s/it]
[2024-06-04 03:22:02] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00001-of-00004.safetensors |
|
2%|β | 3/195 [00:05<05:06, 1.59s/it]
[2024-06-04 03:22:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (128288, 512), dtype: uint32 |
|
2%|β | 3/195 [00:07<05:06, 1.59s/it]
[2024-06-04 03:22:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (128288, 128), dtype: float32 |
|
2%|β | 3/195 [00:08<05:06, 1.59s/it]
3%|β | 6/195 [00:08<03:36, 1.15s/it]
[2024-06-04 03:22:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
3%|β | 6/195 [00:08<03:36, 1.15s/it]
[2024-06-04 03:22:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
3%|β | 6/195 [00:08<03:36, 1.15s/it]
[2024-06-04 03:22:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
3%|β | 6/195 [00:08<03:36, 1.15s/it]
4%|β | 8/195 [00:08<02:24, 1.30it/s]
[2024-06-04 03:22:05] INFO group_quantization.py:217: Compiling quantize function for key: ((28672, 4096), float32, cuda, axis=1, output_transpose=False) |
|
4%|β | 8/195 [00:09<02:24, 1.30it/s]
[2024-06-04 03:22:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
4%|β | 8/195 [00:09<02:24, 1.30it/s]
[2024-06-04 03:22:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
4%|β | 8/195 [00:09<02:24, 1.30it/s]
5%|β | 9/195 [00:09<02:30, 1.24it/s]
[2024-06-04 03:22:06] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
5%|β | 9/195 [00:09<02:30, 1.24it/s]
[2024-06-04 03:22:06] INFO group_quantization.py:217: Compiling quantize function for key: ((6144, 4096), float32, cuda, axis=1, output_transpose=False) |
|
5%|β | 9/195 [00:09<02:30, 1.24it/s]
[2024-06-04 03:22:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
5%|β | 9/195 [00:10<02:30, 1.24it/s]
[2024-06-04 03:22:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
5%|β | 9/195 [00:10<02:30, 1.24it/s]
6%|β | 11/195 [00:10<01:51, 1.66it/s]
[2024-06-04 03:22:06] INFO group_quantization.py:217: Compiling quantize function for key: ((4096, 4096), float32, cuda, axis=1, output_transpose=False) |
|
6%|β | 11/195 [00:10<01:51, 1.66it/s]
[2024-06-04 03:22:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
6%|β | 11/195 [00:10<01:51, 1.66it/s]
[2024-06-04 03:22:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
6%|β | 11/195 [00:10<01:51, 1.66it/s]
6%|β | 12/195 [00:10<01:47, 1.71it/s]
[2024-06-04 03:22:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
6%|β | 12/195 [00:10<01:47, 1.71it/s]
[2024-06-04 03:22:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
6%|β | 12/195 [00:10<01:47, 1.71it/s]
[2024-06-04 03:22:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
6%|β | 12/195 [00:10<01:47, 1.71it/s]
7%|β | 14/195 [00:10<01:14, 2.44it/s]
[2024-06-04 03:22:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
7%|β | 14/195 [00:11<01:14, 2.44it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
7%|β | 14/195 [00:11<01:14, 2.44it/s]
8%|β | 15/195 [00:11<01:17, 2.33it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
8%|β | 15/195 [00:11<01:17, 2.33it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
8%|β | 15/195 [00:11<01:17, 2.33it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
8%|β | 15/195 [00:11<01:17, 2.33it/s]
9%|β | 17/195 [00:11<00:52, 3.38it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
9%|β | 17/195 [00:11<00:52, 3.38it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
9%|β | 17/195 [00:11<00:52, 3.38it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
9%|β | 17/195 [00:11<00:52, 3.38it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
9%|β | 17/195 [00:11<00:52, 3.38it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
9%|β | 17/195 [00:11<00:52, 3.38it/s]
10%|β | 20/195 [00:11<00:36, 4.85it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
10%|β | 20/195 [00:12<00:36, 4.85it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
10%|β | 20/195 [00:12<00:36, 4.85it/s]
11%|β | 21/195 [00:12<00:44, 3.87it/s]
[2024-06-04 03:22:08] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
11%|β | 21/195 [00:12<00:44, 3.87it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
11%|β | 21/195 [00:12<00:44, 3.87it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
11%|β | 21/195 [00:12<00:44, 3.87it/s]
12%|ββ | 23/195 [00:12<00:33, 5.19it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
12%|ββ | 23/195 [00:12<00:33, 5.19it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
12%|ββ | 23/195 [00:12<00:33, 5.19it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
12%|ββ | 23/195 [00:12<00:33, 5.19it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
12%|ββ | 23/195 [00:12<00:33, 5.19it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
12%|ββ | 23/195 [00:12<00:33, 5.19it/s]
13%|ββ | 26/195 [00:12<00:25, 6.53it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
13%|ββ | 26/195 [00:13<00:25, 6.53it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
13%|ββ | 26/195 [00:13<00:25, 6.53it/s]
14%|ββ | 27/195 [00:13<00:37, 4.51it/s]
[2024-06-04 03:22:09] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
14%|ββ | 27/195 [00:13<00:37, 4.51it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
14%|ββ | 27/195 [00:13<00:37, 4.51it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
14%|ββ | 27/195 [00:13<00:37, 4.51it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
14%|ββ | 27/195 [00:13<00:37, 4.51it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
14%|ββ | 27/195 [00:13<00:37, 4.51it/s]
15%|ββ | 30/195 [00:13<00:24, 6.68it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
15%|ββ | 30/195 [00:13<00:24, 6.68it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
15%|ββ | 30/195 [00:13<00:24, 6.68it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
15%|ββ | 30/195 [00:13<00:24, 6.68it/s]
16%|ββ | 32/195 [00:13<00:24, 6.69it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
16%|ββ | 32/195 [00:14<00:24, 6.69it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
16%|ββ | 32/195 [00:14<00:24, 6.69it/s]
17%|ββ | 33/195 [00:14<00:34, 4.76it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
17%|ββ | 33/195 [00:14<00:34, 4.76it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
17%|ββ | 33/195 [00:14<00:34, 4.76it/s]
[2024-06-04 03:22:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
17%|ββ | 33/195 [00:14<00:34, 4.76it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
17%|ββ | 33/195 [00:14<00:34, 4.76it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
17%|ββ | 33/195 [00:14<00:34, 4.76it/s]
18%|ββ | 36/195 [00:14<00:23, 6.78it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
18%|ββ | 36/195 [00:14<00:23, 6.78it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
18%|ββ | 36/195 [00:14<00:23, 6.78it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
18%|ββ | 36/195 [00:14<00:23, 6.78it/s]
19%|ββ | 38/195 [00:14<00:21, 7.25it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
19%|ββ | 38/195 [00:15<00:21, 7.25it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
19%|ββ | 38/195 [00:15<00:21, 7.25it/s]
20%|ββ | 39/195 [00:15<00:31, 5.03it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
20%|ββ | 39/195 [00:15<00:31, 5.03it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
20%|ββ | 39/195 [00:15<00:31, 5.03it/s]
[2024-06-04 03:22:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
20%|ββ | 39/195 [00:15<00:31, 5.03it/s]
21%|ββ | 41/195 [00:15<00:24, 6.34it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
21%|ββ | 41/195 [00:15<00:24, 6.34it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
21%|ββ | 41/195 [00:15<00:24, 6.34it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
21%|ββ | 41/195 [00:15<00:24, 6.34it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
21%|ββ | 41/195 [00:15<00:24, 6.34it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
21%|ββ | 41/195 [00:15<00:24, 6.34it/s]
23%|βββ | 44/195 [00:15<00:19, 7.59it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
23%|βββ | 44/195 [00:15<00:19, 7.59it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
23%|βββ | 44/195 [00:16<00:19, 7.59it/s]
23%|βββ | 45/195 [00:16<00:28, 5.21it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
23%|βββ | 45/195 [00:16<00:28, 5.21it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
23%|βββ | 45/195 [00:16<00:28, 5.21it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
23%|βββ | 45/195 [00:16<00:28, 5.21it/s]
24%|βββ | 47/195 [00:16<00:22, 6.66it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
24%|βββ | 47/195 [00:16<00:22, 6.66it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
24%|βββ | 47/195 [00:16<00:22, 6.66it/s]
[2024-06-04 03:22:12] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
24%|βββ | 47/195 [00:16<00:22, 6.66it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
24%|βββ | 47/195 [00:16<00:22, 6.66it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
24%|βββ | 47/195 [00:16<00:22, 6.66it/s]
26%|βββ | 50/195 [00:16<00:18, 7.70it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
26%|βββ | 50/195 [00:17<00:18, 7.70it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
26%|βββ | 50/195 [00:17<00:18, 7.70it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
26%|βββ | 50/195 [00:17<00:18, 7.70it/s]
27%|βββ | 52/195 [00:17<00:27, 5.25it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
27%|βββ | 52/195 [00:17<00:27, 5.25it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
27%|βββ | 52/195 [00:17<00:27, 5.25it/s]
[2024-06-04 03:22:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
27%|βββ | 52/195 [00:17<00:27, 5.25it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
27%|βββ | 52/195 [00:17<00:27, 5.25it/s]
28%|βββ | 54/195 [00:17<00:21, 6.43it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
28%|βββ | 54/195 [00:17<00:21, 6.43it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
28%|βββ | 54/195 [00:17<00:21, 6.43it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
28%|βββ | 54/195 [00:17<00:21, 6.43it/s]
29%|βββ | 56/195 [00:17<00:21, 6.50it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
29%|βββ | 56/195 [00:18<00:21, 6.50it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
29%|βββ | 56/195 [00:18<00:21, 6.50it/s]
29%|βββ | 57/195 [00:18<00:31, 4.35it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
29%|βββ | 57/195 [00:18<00:31, 4.35it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
29%|βββ | 57/195 [00:18<00:31, 4.35it/s]
[2024-06-04 03:22:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
29%|βββ | 57/195 [00:18<00:31, 4.35it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
29%|βββ | 57/195 [00:18<00:31, 4.35it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
29%|βββ | 57/195 [00:18<00:31, 4.35it/s]
31%|βββ | 60/195 [00:18<00:21, 6.29it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00001-of-00004.safetensors |
|
31%|βββ | 60/195 [00:18<00:21, 6.29it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00002-of-00004.safetensors |
|
31%|βββ | 60/195 [00:18<00:21, 6.29it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
31%|βββ | 60/195 [00:18<00:21, 6.29it/s]
31%|ββββ | 61/195 [00:18<00:25, 5.34it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
31%|ββββ | 61/195 [00:18<00:25, 5.34it/s]
[2024-06-04 03:22:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
31%|ββββ | 61/195 [00:19<00:25, 5.34it/s]
32%|ββββ | 62/195 [00:19<00:26, 5.09it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
32%|ββββ | 62/195 [00:19<00:26, 5.09it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
32%|ββββ | 62/195 [00:19<00:26, 5.09it/s]
32%|ββββ | 63/195 [00:19<00:43, 3.06it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
32%|ββββ | 63/195 [00:19<00:43, 3.06it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
32%|ββββ | 63/195 [00:19<00:43, 3.06it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
32%|ββββ | 63/195 [00:19<00:43, 3.06it/s]
33%|ββββ | 65/195 [00:19<00:30, 4.33it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
33%|ββββ | 65/195 [00:20<00:30, 4.33it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
33%|ββββ | 65/195 [00:20<00:30, 4.33it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
33%|ββββ | 65/195 [00:20<00:30, 4.33it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
33%|ββββ | 65/195 [00:20<00:30, 4.33it/s]
[2024-06-04 03:22:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
33%|ββββ | 65/195 [00:20<00:30, 4.33it/s]
35%|ββββ | 68/195 [00:20<00:21, 5.85it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
35%|ββββ | 68/195 [00:20<00:21, 5.85it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
35%|ββββ | 68/195 [00:20<00:21, 5.85it/s]
35%|ββββ | 69/195 [00:20<00:33, 3.77it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
35%|ββββ | 69/195 [00:20<00:33, 3.77it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
35%|ββββ | 69/195 [00:21<00:33, 3.77it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
35%|ββββ | 69/195 [00:21<00:33, 3.77it/s]
36%|ββββ | 71/195 [00:21<00:24, 5.06it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
36%|ββββ | 71/195 [00:21<00:24, 5.06it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
36%|ββββ | 71/195 [00:21<00:24, 5.06it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
36%|ββββ | 71/195 [00:21<00:24, 5.06it/s]
[2024-06-04 03:22:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
36%|ββββ | 71/195 [00:21<00:24, 5.06it/s]
[2024-06-04 03:22:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
36%|ββββ | 71/195 [00:21<00:24, 5.06it/s]
38%|ββββ | 74/195 [00:21<00:18, 6.42it/s]
[2024-06-04 03:22:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
38%|ββββ | 74/195 [00:22<00:18, 6.42it/s]
[2024-06-04 03:22:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
38%|ββββ | 74/195 [00:22<00:18, 6.42it/s]
38%|ββββ | 75/195 [00:22<00:33, 3.63it/s]
[2024-06-04 03:22:18] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
38%|ββββ | 75/195 [00:22<00:33, 3.63it/s]
[2024-06-04 03:22:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
38%|ββββ | 75/195 [00:22<00:33, 3.63it/s]
[2024-06-04 03:22:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
38%|ββββ | 75/195 [00:22<00:33, 3.63it/s]
[2024-06-04 03:22:19] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
38%|ββββ | 75/195 [00:22<00:33, 3.63it/s]
[2024-06-04 03:22:19] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
38%|ββββ | 75/195 [00:22<00:33, 3.63it/s]
40%|ββββ | 78/195 [00:22<00:21, 5.54it/s]
[2024-06-04 03:22:19] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
40%|ββββ | 78/195 [00:22<00:21, 5.54it/s]
[2024-06-04 03:22:19] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
40%|ββββ | 78/195 [00:22<00:21, 5.54it/s]
[2024-06-04 03:22:19] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
40%|ββββ | 78/195 [00:22<00:21, 5.54it/s]
41%|ββββ | 80/195 [00:22<00:19, 5.85it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
41%|ββββ | 80/195 [00:23<00:19, 5.85it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
41%|ββββ | 80/195 [00:23<00:19, 5.85it/s]
42%|βββββ | 81/195 [00:23<00:33, 3.38it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
42%|βββββ | 81/195 [00:23<00:33, 3.38it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
42%|βββββ | 81/195 [00:23<00:33, 3.38it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
42%|βββββ | 81/195 [00:23<00:33, 3.38it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
42%|βββββ | 81/195 [00:23<00:33, 3.38it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
42%|βββββ | 81/195 [00:23<00:33, 3.38it/s]
43%|βββββ | 84/195 [00:23<00:22, 5.04it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
43%|βββββ | 84/195 [00:23<00:22, 5.04it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
43%|βββββ | 84/195 [00:23<00:22, 5.04it/s]
[2024-06-04 03:22:20] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
43%|βββββ | 84/195 [00:24<00:22, 5.04it/s]
44%|βββββ | 86/195 [00:24<00:19, 5.68it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
44%|βββββ | 86/195 [00:24<00:19, 5.68it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
44%|βββββ | 86/195 [00:24<00:19, 5.68it/s]
45%|βββββ | 87/195 [00:24<00:31, 3.43it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
45%|βββββ | 87/195 [00:24<00:31, 3.43it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
45%|βββββ | 87/195 [00:24<00:31, 3.43it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
45%|βββββ | 87/195 [00:24<00:31, 3.43it/s]
46%|βββββ | 89/195 [00:25<00:23, 4.53it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
46%|βββββ | 89/195 [00:25<00:23, 4.53it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
46%|βββββ | 89/195 [00:25<00:23, 4.53it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
46%|βββββ | 89/195 [00:25<00:23, 4.53it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
46%|βββββ | 89/195 [00:25<00:23, 4.53it/s]
[2024-06-04 03:22:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
46%|βββββ | 89/195 [00:25<00:23, 4.53it/s]
47%|βββββ | 92/195 [00:25<00:17, 5.91it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
47%|βββββ | 92/195 [00:25<00:17, 5.91it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
47%|βββββ | 92/195 [00:26<00:17, 5.91it/s]
48%|βββββ | 93/195 [00:26<00:27, 3.68it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
48%|βββββ | 93/195 [00:26<00:27, 3.68it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
48%|βββββ | 93/195 [00:26<00:27, 3.68it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
48%|βββββ | 93/195 [00:26<00:27, 3.68it/s]
49%|βββββ | 95/195 [00:26<00:20, 4.87it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
49%|βββββ | 95/195 [00:26<00:20, 4.87it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
49%|βββββ | 95/195 [00:26<00:20, 4.87it/s]
[2024-06-04 03:22:22] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
49%|βββββ | 95/195 [00:26<00:20, 4.87it/s]
[2024-06-04 03:22:23] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
49%|βββββ | 95/195 [00:26<00:20, 4.87it/s]
[2024-06-04 03:22:23] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
49%|βββββ | 95/195 [00:26<00:20, 4.87it/s]
50%|βββββ | 98/195 [00:26<00:15, 6.22it/s]
[2024-06-04 03:22:23] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
50%|βββββ | 98/195 [00:27<00:15, 6.22it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
50%|βββββ | 98/195 [00:27<00:15, 6.22it/s]
51%|βββββ | 99/195 [00:27<00:27, 3.51it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
51%|βββββ | 99/195 [00:27<00:27, 3.51it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
51%|βββββ | 99/195 [00:27<00:27, 3.51it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
51%|βββββ | 99/195 [00:27<00:27, 3.51it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
51%|βββββ | 99/195 [00:27<00:27, 3.51it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
51%|βββββ | 99/195 [00:27<00:27, 3.51it/s]
52%|ββββββ | 102/195 [00:27<00:17, 5.35it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
52%|ββββββ | 102/195 [00:27<00:17, 5.35it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
52%|ββββββ | 102/195 [00:27<00:17, 5.35it/s]
[2024-06-04 03:22:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
52%|ββββββ | 102/195 [00:27<00:17, 5.35it/s]
53%|ββββββ | 104/195 [00:27<00:16, 5.65it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
53%|ββββββ | 104/195 [00:28<00:16, 5.65it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
53%|ββββββ | 104/195 [00:28<00:16, 5.65it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
53%|ββββββ | 104/195 [00:28<00:16, 5.65it/s]
54%|ββββββ | 106/195 [00:28<00:20, 4.39it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
54%|ββββββ | 106/195 [00:28<00:20, 4.39it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
54%|ββββββ | 106/195 [00:28<00:20, 4.39it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
54%|ββββββ | 106/195 [00:28<00:20, 4.39it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
54%|ββββββ | 106/195 [00:28<00:20, 4.39it/s]
55%|ββββββ | 108/195 [00:28<00:16, 5.31it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
55%|ββββββ | 108/195 [00:28<00:16, 5.31it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
55%|ββββββ | 108/195 [00:28<00:16, 5.31it/s]
[2024-06-04 03:22:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
55%|ββββββ | 108/195 [00:29<00:16, 5.31it/s]
56%|ββββββ | 110/195 [00:29<00:14, 5.94it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
56%|ββββββ | 110/195 [00:29<00:14, 5.94it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
56%|ββββββ | 110/195 [00:29<00:14, 5.94it/s]
57%|ββββββ | 111/195 [00:29<00:24, 3.50it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
57%|ββββββ | 111/195 [00:29<00:24, 3.50it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
57%|ββββββ | 111/195 [00:29<00:24, 3.50it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
57%|ββββββ | 111/195 [00:29<00:24, 3.50it/s]
58%|ββββββ | 113/195 [00:30<00:17, 4.63it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
58%|ββββββ | 113/195 [00:30<00:17, 4.63it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
58%|ββββββ | 113/195 [00:30<00:17, 4.63it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
58%|ββββββ | 113/195 [00:30<00:17, 4.63it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
58%|ββββββ | 113/195 [00:30<00:17, 4.63it/s]
[2024-06-04 03:22:26] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
58%|ββββββ | 113/195 [00:30<00:17, 4.63it/s]
59%|ββββββ | 116/195 [00:30<00:13, 6.02it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
59%|ββββββ | 116/195 [00:30<00:13, 6.02it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
59%|ββββββ | 116/195 [00:31<00:13, 6.02it/s]
60%|ββββββ | 117/195 [00:31<00:21, 3.68it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
60%|ββββββ | 117/195 [00:31<00:21, 3.68it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
60%|ββββββ | 117/195 [00:31<00:21, 3.68it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
60%|ββββββ | 117/195 [00:31<00:21, 3.68it/s]
61%|ββββββ | 119/195 [00:31<00:15, 4.89it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
61%|ββββββ | 119/195 [00:31<00:15, 4.89it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
61%|ββββββ | 119/195 [00:31<00:15, 4.89it/s]
[2024-06-04 03:22:27] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors |
|
61%|ββββββ | 119/195 [00:31<00:15, 4.89it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
61%|ββββββ | 119/195 [00:31<00:15, 4.89it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
61%|ββββββ | 119/195 [00:31<00:15, 4.89it/s]
62%|βββββββ | 121/195 [00:31<00:18, 3.99it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
62%|βββββββ | 121/195 [00:32<00:18, 3.99it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
62%|βββββββ | 121/195 [00:32<00:18, 3.99it/s]
63%|βββββββ | 122/195 [00:32<00:16, 4.33it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
63%|βββββββ | 122/195 [00:32<00:16, 4.33it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
63%|βββββββ | 122/195 [00:32<00:16, 4.33it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
63%|βββββββ | 122/195 [00:32<00:16, 4.33it/s]
[2024-06-04 03:22:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
63%|βββββββ | 122/195 [00:32<00:16, 4.33it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
63%|βββββββ | 122/195 [00:32<00:16, 4.33it/s]
64%|βββββββ | 125/195 [00:32<00:12, 5.77it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
64%|βββββββ | 125/195 [00:32<00:12, 5.77it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
64%|βββββββ | 125/195 [00:32<00:12, 5.77it/s]
65%|βββββββ | 126/195 [00:33<00:17, 3.99it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
65%|βββββββ | 126/195 [00:33<00:17, 3.99it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
65%|βββββββ | 126/195 [00:33<00:17, 3.99it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
65%|βββββββ | 126/195 [00:33<00:17, 3.99it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
65%|βββββββ | 126/195 [00:33<00:17, 3.99it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
65%|βββββββ | 126/195 [00:33<00:17, 3.99it/s]
66%|βββββββ | 129/195 [00:33<00:10, 6.12it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
66%|βββββββ | 129/195 [00:33<00:10, 6.12it/s]
[2024-06-04 03:22:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
66%|βββββββ | 129/195 [00:33<00:10, 6.12it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
66%|βββββββ | 129/195 [00:33<00:10, 6.12it/s]
67%|βββββββ | 131/195 [00:33<00:10, 6.23it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
67%|βββββββ | 131/195 [00:33<00:10, 6.23it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
67%|βββββββ | 131/195 [00:33<00:10, 6.23it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
67%|βββββββ | 131/195 [00:33<00:10, 6.23it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
67%|βββββββ | 131/195 [00:33<00:10, 6.23it/s]
69%|βββββββ | 134/195 [00:33<00:08, 7.59it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
69%|βββββββ | 134/195 [00:34<00:08, 7.59it/s]
[2024-06-04 03:22:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
69%|βββββββ | 134/195 [00:34<00:08, 7.59it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
69%|βββββββ | 134/195 [00:34<00:08, 7.59it/s]
70%|βββββββ | 136/195 [00:34<00:10, 5.46it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
70%|βββββββ | 136/195 [00:34<00:10, 5.46it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
70%|βββββββ | 136/195 [00:34<00:10, 5.46it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
70%|βββββββ | 136/195 [00:34<00:10, 5.46it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
70%|βββββββ | 136/195 [00:34<00:10, 5.46it/s]
71%|βββββββ | 138/195 [00:34<00:09, 6.29it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
71%|βββββββ | 138/195 [00:34<00:09, 6.29it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
71%|βββββββ | 138/195 [00:34<00:09, 6.29it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
71%|βββββββ | 138/195 [00:34<00:09, 6.29it/s]
72%|ββββββββ | 140/195 [00:34<00:08, 6.79it/s]
[2024-06-04 03:22:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
72%|ββββββββ | 140/195 [00:35<00:08, 6.79it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
72%|ββββββββ | 140/195 [00:35<00:08, 6.79it/s]
72%|ββββββββ | 141/195 [00:35<00:12, 4.26it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
72%|ββββββββ | 141/195 [00:35<00:12, 4.26it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
72%|ββββββββ | 141/195 [00:35<00:12, 4.26it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
72%|ββββββββ | 141/195 [00:35<00:12, 4.26it/s]
73%|ββββββββ | 143/195 [00:35<00:09, 5.50it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
73%|ββββββββ | 143/195 [00:35<00:09, 5.50it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
73%|ββββββββ | 143/195 [00:35<00:09, 5.50it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
73%|ββββββββ | 143/195 [00:35<00:09, 5.50it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
73%|ββββββββ | 143/195 [00:35<00:09, 5.50it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
73%|ββββββββ | 143/195 [00:35<00:09, 5.50it/s]
75%|ββββββββ | 146/195 [00:35<00:07, 6.83it/s]
[2024-06-04 03:22:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
75%|ββββββββ | 146/195 [00:36<00:07, 6.83it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
75%|ββββββββ | 146/195 [00:36<00:07, 6.83it/s]
75%|ββββββββ | 147/195 [00:36<00:10, 4.52it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
75%|ββββββββ | 147/195 [00:36<00:10, 4.52it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
75%|ββββββββ | 147/195 [00:36<00:10, 4.52it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
75%|ββββββββ | 147/195 [00:36<00:10, 4.52it/s]
76%|ββββββββ | 149/195 [00:36<00:07, 5.85it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
76%|ββββββββ | 149/195 [00:36<00:07, 5.85it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
76%|ββββββββ | 149/195 [00:36<00:07, 5.85it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
76%|ββββββββ | 149/195 [00:36<00:07, 5.85it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
76%|ββββββββ | 149/195 [00:36<00:07, 5.85it/s]
[2024-06-04 03:22:33] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
76%|ββββββββ | 149/195 [00:36<00:07, 5.85it/s]
78%|ββββββββ | 152/195 [00:36<00:06, 7.00it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
78%|ββββββββ | 152/195 [00:37<00:06, 7.00it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
78%|ββββββββ | 152/195 [00:37<00:06, 7.00it/s]
78%|ββββββββ | 153/195 [00:37<00:09, 4.20it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
78%|ββββββββ | 153/195 [00:37<00:09, 4.20it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
78%|ββββββββ | 153/195 [00:37<00:09, 4.20it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
78%|ββββββββ | 153/195 [00:37<00:09, 4.20it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
78%|ββββββββ | 153/195 [00:37<00:09, 4.20it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
78%|ββββββββ | 153/195 [00:37<00:09, 4.20it/s]
80%|ββββββββ | 156/195 [00:37<00:06, 6.22it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
80%|ββββββββ | 156/195 [00:37<00:06, 6.22it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
80%|ββββββββ | 156/195 [00:37<00:06, 6.22it/s]
[2024-06-04 03:22:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
80%|ββββββββ | 156/195 [00:38<00:06, 6.22it/s]
81%|ββββββββ | 158/195 [00:38<00:05, 6.32it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
81%|ββββββββ | 158/195 [00:38<00:05, 6.32it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
81%|ββββββββ | 158/195 [00:38<00:05, 6.32it/s]
82%|βββββββββ | 159/195 [00:38<00:08, 4.05it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
82%|βββββββββ | 159/195 [00:38<00:08, 4.05it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
82%|βββββββββ | 159/195 [00:38<00:08, 4.05it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
82%|βββββββββ | 159/195 [00:38<00:08, 4.05it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
82%|βββββββββ | 159/195 [00:38<00:08, 4.05it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
82%|βββββββββ | 159/195 [00:38<00:08, 4.05it/s]
83%|βββββββββ | 162/195 [00:38<00:05, 5.87it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
83%|βββββββββ | 162/195 [00:38<00:05, 5.87it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
83%|βββββββββ | 162/195 [00:39<00:05, 5.87it/s]
[2024-06-04 03:22:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
83%|βββββββββ | 162/195 [00:39<00:05, 5.87it/s]
84%|βββββββββ | 164/195 [00:39<00:04, 6.40it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
84%|βββββββββ | 164/195 [00:39<00:04, 6.40it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
84%|βββββββββ | 164/195 [00:40<00:04, 6.40it/s]
85%|βββββββββ | 165/195 [00:40<00:08, 3.72it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
85%|βββββββββ | 165/195 [00:40<00:08, 3.72it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
85%|βββββββββ | 165/195 [00:40<00:08, 3.72it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
85%|βββββββββ | 165/195 [00:40<00:08, 3.72it/s]
86%|βββββββββ | 167/195 [00:40<00:05, 4.85it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
86%|βββββββββ | 167/195 [00:40<00:05, 4.85it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
86%|βββββββββ | 167/195 [00:40<00:05, 4.85it/s]
[2024-06-04 03:22:36] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
86%|βββββββββ | 167/195 [00:40<00:05, 4.85it/s]
[2024-06-04 03:22:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
86%|βββββββββ | 167/195 [00:40<00:05, 4.85it/s]
[2024-06-04 03:22:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
86%|βββββββββ | 167/195 [00:40<00:05, 4.85it/s]
87%|βββββββββ | 170/195 [00:40<00:04, 6.19it/s]
[2024-06-04 03:22:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
87%|βββββββββ | 170/195 [00:41<00:04, 6.19it/s]
[2024-06-04 03:22:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
87%|βββββββββ | 170/195 [00:41<00:04, 6.19it/s]
88%|βββββββββ | 171/195 [00:41<00:06, 3.70it/s]
[2024-06-04 03:22:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
88%|βββββββββ | 171/195 [00:41<00:06, 3.70it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
88%|βββββββββ | 171/195 [00:41<00:06, 3.70it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
88%|βββββββββ | 171/195 [00:41<00:06, 3.70it/s]
89%|βββββββββ | 173/195 [00:41<00:04, 4.89it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
89%|βββββββββ | 173/195 [00:41<00:04, 4.89it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
89%|βββββββββ | 173/195 [00:41<00:04, 4.89it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.28.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
89%|βββββββββ | 173/195 [00:41<00:04, 4.89it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
89%|βββββββββ | 173/195 [00:41<00:04, 4.89it/s]
[2024-06-04 03:22:38] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
89%|βββββββββ | 173/195 [00:41<00:04, 4.89it/s]
90%|βββββββββ | 176/195 [00:41<00:03, 6.18it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
90%|βββββββββ | 176/195 [00:42<00:03, 6.18it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
90%|βββββββββ | 176/195 [00:43<00:03, 6.18it/s]
91%|βββββββββ | 177/195 [00:43<00:06, 2.80it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.28.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
91%|βββββββββ | 177/195 [00:43<00:06, 2.80it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
91%|βββββββββ | 177/195 [00:43<00:06, 2.80it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
91%|βββββββββ | 177/195 [00:43<00:06, 2.80it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
91%|βββββββββ | 177/195 [00:43<00:06, 2.80it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
91%|βββββββββ | 177/195 [00:43<00:06, 2.80it/s]
92%|ββββββββββ| 180/195 [00:43<00:03, 4.30it/s]
[2024-06-04 03:22:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.29.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
92%|ββββββββββ| 180/195 [00:43<00:03, 4.30it/s]
[2024-06-04 03:22:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
92%|ββββββββββ| 180/195 [00:43<00:03, 4.30it/s]
[2024-06-04 03:22:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
92%|ββββββββββ| 180/195 [00:43<00:03, 4.30it/s]
93%|ββββββββββ| 182/195 [00:43<00:02, 4.76it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
93%|ββββββββββ| 182/195 [00:44<00:02, 4.76it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
93%|ββββββββββ| 182/195 [00:44<00:02, 4.76it/s]
94%|ββββββββββ| 183/195 [00:44<00:04, 2.98it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.29.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
94%|ββββββββββ| 183/195 [00:44<00:04, 2.98it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
94%|ββββββββββ| 183/195 [00:44<00:04, 2.98it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
94%|ββββββββββ| 183/195 [00:44<00:04, 2.98it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
94%|ββββββββββ| 183/195 [00:44<00:04, 2.98it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
94%|ββββββββββ| 183/195 [00:44<00:04, 2.98it/s]
95%|ββββββββββ| 186/195 [00:44<00:02, 4.49it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.30.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
95%|ββββββββββ| 186/195 [00:44<00:02, 4.49it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
95%|ββββββββββ| 186/195 [00:44<00:02, 4.49it/s]
[2024-06-04 03:22:41] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
95%|ββββββββββ| 186/195 [00:44<00:02, 4.49it/s]
96%|ββββββββββ| 188/195 [00:44<00:01, 5.15it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
96%|ββββββββββ| 188/195 [00:45<00:01, 5.15it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
96%|ββββββββββ| 188/195 [00:45<00:01, 5.15it/s]
97%|ββββββββββ| 189/195 [00:45<00:01, 3.05it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.30.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
97%|ββββββββββ| 189/195 [00:45<00:01, 3.05it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
97%|ββββββββββ| 189/195 [00:46<00:01, 3.05it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
97%|ββββββββββ| 189/195 [00:46<00:01, 3.05it/s]
98%|ββββββββββ| 191/195 [00:46<00:00, 4.05it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
98%|ββββββββββ| 191/195 [00:46<00:00, 4.05it/s]
[2024-06-04 03:22:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
98%|ββββββββββ| 191/195 [00:46<00:00, 4.05it/s]
[2024-06-04 03:22:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
98%|ββββββββββ| 191/195 [00:46<00:00, 4.05it/s]
[2024-06-04 03:22:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
98%|ββββββββββ| 191/195 [00:47<00:00, 4.05it/s]
99%|ββββββββββ| 193/195 [00:47<00:00, 3.07it/s]
[2024-06-04 03:22:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
99%|ββββββββββ| 193/195 [00:47<00:00, 3.07it/s]
[2024-06-04 03:22:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
99%|ββββββββββ| 193/195 [00:47<00:00, 3.07it/s]
[2024-06-04 03:22:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
99%|ββββββββββ| 193/195 [00:47<00:00, 3.07it/s]
[2024-06-04 03:22:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
99%|ββββββββββ| 193/195 [00:47<00:00, 3.07it/s]
100%|ββββββββββ| 195/195 [00:47<00:00, 3.89it/s]
100%|ββββββββββ| 195/195 [00:47<00:00, 4.12it/s] |
|
[2024-06-04 03:22:43] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00002-of-00004.safetensors |
|
[2024-06-04 03:22:44] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors |
|
[2024-06-04 03:22:44] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.332 sec; Pre-quantization mapping: 27.727 sec; Quantization: 3.047 sec |
|
[2024-06-04 03:22:44] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 9.235 GB. Total bytes loaded from disk: 14.958 GB |
|
[2024-06-04 03:22:44] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 4.675 GB |
|
[2024-06-04 03:22:44] INFO convert_weight.py:160: [92mTotal parameters[0m: 8,030,523,392 |
|
[2024-06-04 03:22:44] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.001 |
|
[2024-06-04 03:22:44] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC[0m |
|
|
|
All finished, 108 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/ndarray-cache.json |
|
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/ndarray-cache-b16.json |
|
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Hermes-2-Pro-Llama-3-8B --quantization q4f32_1 --conv-template hermes2_pro_llama3 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
[2024-06-06 23:14:23] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json |
|
[2024-06-06 23:14:23] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
|
[2024-06-06 23:14:23] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) |
|
[2024-06-06 23:14:23] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
|
[2024-06-06 23:14:23] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 |
|
[2024-06-06 23:14:23] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 128000 |
|
[2024-06-06 23:14:23] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: 128003 |
|
[2024-06-06 23:14:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.model |
|
[2024-06-06 23:14:23] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/tokenizer.json[0m |
|
[2024-06-06 23:14:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/vocab.json |
|
[2024-06-06 23:14:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/merges.txt |
|
[2024-06-06 23:14:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/added_tokens.json |
|
[2024-06-06 23:14:23] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Hermes-2-Pro-Llama-3-8B/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/tokenizer_config.json[0m |
|
[2024-06-06 23:14:24] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} |
|
[2024-06-06 23:14:24] INFO gen_config.py:32: [System default] Setting [1mpad_token_id[0m: 0 |
|
[2024-06-06 23:14:24] INFO gen_config.py:32: [System default] Setting [1mtemperature[0m: 1.0 |
|
[2024-06-06 23:14:24] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
|
[2024-06-06 23:14:24] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 |
|
[2024-06-06 23:14:24] INFO gen_config.py:32: [System default] Setting [1mrepetition_penalty[0m: 1.0 |
|
[2024-06-06 23:14:24] INFO gen_config.py:32: [System default] Setting [1mtop_p[0m: 1.0 |
|
[2024-06-06 23:14:24] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/mlc-chat-config.json[0m |
|
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Hermes-2-Pro-Llama-3-8B --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
[2024-06-06 23:14:25] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Hermes-2-Pro-Llama-3-8B/config.json |
|
[2024-06-06 23:14:26] INFO auto_device.py:79: [92mFound[0m device: cuda:0 |
|
[2024-06-06 23:14:28] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 |
|
[2024-06-06 23:14:29] INFO auto_device.py:88: [91mNot found[0m device: metal:0 |
|
[2024-06-06 23:14:31] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 |
|
[2024-06-06 23:14:31] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 |
|
[2024-06-06 23:14:31] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 |
|
[2024-06-06 23:14:31] INFO auto_device.py:79: [92mFound[0m device: vulkan:3 |
|
[2024-06-06 23:14:32] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 |
|
[2024-06-06 23:14:32] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
|
[2024-06-06 23:14:32] INFO auto_weight.py:71: Finding weights in: /models/Hermes-2-Pro-Llama-3-8B |
|
[2024-06-06 23:14:32] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
|
[2024-06-06 23:14:32] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json |
|
[2024-06-06 23:14:32] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json[0m. Use `--source` to override. |
|
[2024-06-06 23:14:32] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
|
[2024-06-06 23:14:32] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
|
[2024-06-06 23:14:32] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) |
|
[2024-06-06 23:14:32] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
|
[1mWeight conversion with arguments:[0m |
|
[1m--config[0m /models/Hermes-2-Pro-Llama-3-8B/config.json |
|
[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7) |
|
[1m--model-type[0m llama |
|
[1m--device[0m cuda:0 |
|
[1m--source[0m /models/Hermes-2-Pro-Llama-3-8B/model.safetensors.index.json |
|
[1m--source-format[0m huggingface-safetensor |
|
[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC |
|
0%| | 0/195 [00:00<?, ?it/s]
[2024-06-06 23:14:36] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00004-of-00004.safetensors |
|
0%| | 0/195 [00:00<?, ?it/s]
[2024-06-06 23:14:41] INFO group_quantization.py:217: Compiling quantize function for key: ((128288, 4096), float32, cuda, axis=1, output_transpose=False) |
|
0%| | 0/195 [00:04<?, ?it/s]
[2024-06-06 23:14:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (128288, 512), dtype: uint32 |
|
0%| | 0/195 [00:05<?, ?it/s]
[2024-06-06 23:14:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (128288, 128), dtype: float32 |
|
0%| | 0/195 [00:06<?, ?it/s]
1%| | 1/195 [00:06<22:21, 6.91s/it]
[2024-06-06 23:14:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.31.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
1%| | 1/195 [00:06<22:21, 6.91s/it]
[2024-06-06 23:14:44] INFO group_quantization.py:217: Compiling quantize function for key: ((4096, 14336), float32, cuda, axis=1, output_transpose=False) |
|
1%| | 1/195 [00:07<22:21, 6.91s/it]
[2024-06-06 23:14:44] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
1%| | 1/195 [00:07<22:21, 6.91s/it]
[2024-06-06 23:14:44] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
1%| | 1/195 [00:07<22:21, 6.91s/it]
2%|β | 3/195 [00:07<06:53, 2.16s/it]
[2024-06-06 23:14:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.31.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
2%|β | 3/195 [00:07<06:53, 2.16s/it]
[2024-06-06 23:14:44] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (4096,), dtype: float32 |
|
2%|β | 3/195 [00:07<06:53, 2.16s/it]
[2024-06-06 23:14:44] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00004-of-00004.safetensors |
|
2%|β | 3/195 [00:07<06:53, 2.16s/it]
[2024-06-06 23:14:44] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00001-of-00004.safetensors |
|
2%|β | 3/195 [00:07<06:53, 2.16s/it]
[2024-06-06 23:14:47] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (128288, 512), dtype: uint32 |
|
2%|β | 3/195 [00:10<06:53, 2.16s/it]
[2024-06-06 23:14:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (128288, 128), dtype: float32 |
|
2%|β | 3/195 [00:11<06:53, 2.16s/it]
3%|β | 6/195 [00:11<05:10, 1.64s/it]
[2024-06-06 23:14:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
3%|β | 6/195 [00:11<05:10, 1.64s/it]
[2024-06-06 23:14:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
3%|β | 6/195 [00:12<05:10, 1.64s/it]
[2024-06-06 23:14:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
3%|β | 6/195 [00:12<05:10, 1.64s/it]
4%|β | 8/195 [00:12<03:27, 1.11s/it]
[2024-06-06 23:14:50] INFO group_quantization.py:217: Compiling quantize function for key: ((28672, 4096), float32, cuda, axis=1, output_transpose=False) |
|
4%|β | 8/195 [00:13<03:27, 1.11s/it]
[2024-06-06 23:14:50] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
4%|β | 8/195 [00:13<03:27, 1.11s/it]
[2024-06-06 23:14:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
4%|β | 8/195 [00:14<03:27, 1.11s/it]
5%|β | 9/195 [00:14<03:58, 1.28s/it]
[2024-06-06 23:14:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
5%|β | 9/195 [00:14<03:58, 1.28s/it]
[2024-06-06 23:14:51] INFO group_quantization.py:217: Compiling quantize function for key: ((6144, 4096), float32, cuda, axis=1, output_transpose=False) |
|
5%|β | 9/195 [00:14<03:58, 1.28s/it]
[2024-06-06 23:14:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
5%|β | 9/195 [00:14<03:58, 1.28s/it]
[2024-06-06 23:14:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
5%|β | 9/195 [00:14<03:58, 1.28s/it]
6%|β | 11/195 [00:14<02:52, 1.07it/s]
[2024-06-06 23:14:51] INFO group_quantization.py:217: Compiling quantize function for key: ((4096, 4096), float32, cuda, axis=1, output_transpose=False) |
|
6%|β | 11/195 [00:14<02:52, 1.07it/s]
[2024-06-06 23:14:52] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
6%|β | 11/195 [00:15<02:52, 1.07it/s]
[2024-06-06 23:14:52] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
6%|β | 11/195 [00:15<02:52, 1.07it/s]
6%|β | 12/195 [00:15<02:37, 1.16it/s]
[2024-06-06 23:14:52] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
6%|β | 12/195 [00:15<02:37, 1.16it/s]
[2024-06-06 23:14:52] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
6%|β | 12/195 [00:15<02:37, 1.16it/s]
[2024-06-06 23:14:52] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
6%|β | 12/195 [00:15<02:37, 1.16it/s]
7%|β | 14/195 [00:15<01:50, 1.63it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
7%|β | 14/195 [00:17<01:50, 1.63it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
7%|β | 14/195 [00:17<01:50, 1.63it/s]
8%|β | 15/195 [00:17<02:32, 1.18it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
8%|β | 15/195 [00:17<02:32, 1.18it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
8%|β | 15/195 [00:17<02:32, 1.18it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
8%|β | 15/195 [00:17<02:32, 1.18it/s]
9%|β | 17/195 [00:17<01:44, 1.70it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
9%|β | 17/195 [00:17<01:44, 1.70it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
9%|β | 17/195 [00:17<01:44, 1.70it/s]
[2024-06-06 23:14:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
9%|β | 17/195 [00:17<01:44, 1.70it/s]
[2024-06-06 23:14:55] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
9%|β | 17/195 [00:18<01:44, 1.70it/s]
[2024-06-06 23:14:55] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
9%|β | 17/195 [00:18<01:44, 1.70it/s]
10%|β | 20/195 [00:18<01:09, 2.53it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
10%|β | 20/195 [00:20<01:09, 2.53it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
10%|β | 20/195 [00:20<01:09, 2.53it/s]
11%|β | 21/195 [00:20<02:04, 1.40it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
11%|β | 21/195 [00:20<02:04, 1.40it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
11%|β | 21/195 [00:20<02:04, 1.40it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
11%|β | 21/195 [00:20<02:04, 1.40it/s]
12%|ββ | 23/195 [00:20<01:29, 1.92it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
12%|ββ | 23/195 [00:20<01:29, 1.92it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
12%|ββ | 23/195 [00:20<01:29, 1.92it/s]
[2024-06-06 23:14:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
12%|ββ | 23/195 [00:20<01:29, 1.92it/s]
[2024-06-06 23:14:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
12%|ββ | 23/195 [00:21<01:29, 1.92it/s]
[2024-06-06 23:14:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
12%|ββ | 23/195 [00:21<01:29, 1.92it/s]
13%|ββ | 26/195 [00:21<01:10, 2.41it/s]
[2024-06-06 23:15:00] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
13%|ββ | 26/195 [00:23<01:10, 2.41it/s]
[2024-06-06 23:15:00] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
13%|ββ | 26/195 [00:23<01:10, 2.41it/s]
14%|ββ | 27/195 [00:23<01:59, 1.40it/s]
[2024-06-06 23:15:00] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
14%|ββ | 27/195 [00:23<01:59, 1.40it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
14%|ββ | 27/195 [00:24<01:59, 1.40it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
14%|ββ | 27/195 [00:24<01:59, 1.40it/s]
15%|ββ | 29/195 [00:24<01:27, 1.89it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
15%|ββ | 29/195 [00:24<01:27, 1.89it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
15%|ββ | 29/195 [00:24<01:27, 1.89it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
15%|ββ | 29/195 [00:24<01:27, 1.89it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
15%|ββ | 29/195 [00:24<01:27, 1.89it/s]
[2024-06-06 23:15:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
15%|ββ | 29/195 [00:24<01:27, 1.89it/s]
16%|ββ | 32/195 [00:24<01:04, 2.53it/s]
[2024-06-06 23:15:03] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
16%|ββ | 32/195 [00:27<01:04, 2.53it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
16%|ββ | 32/195 [00:27<01:04, 2.53it/s]
17%|ββ | 33/195 [00:27<02:02, 1.32it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
17%|ββ | 33/195 [00:27<02:02, 1.32it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
17%|ββ | 33/195 [00:27<02:02, 1.32it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
17%|ββ | 33/195 [00:27<02:02, 1.32it/s]
18%|ββ | 35/195 [00:27<01:27, 1.83it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
18%|ββ | 35/195 [00:27<01:27, 1.83it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
18%|ββ | 35/195 [00:27<01:27, 1.83it/s]
18%|ββ | 36/195 [00:27<01:16, 2.09it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
18%|ββ | 36/195 [00:27<01:16, 2.09it/s]
[2024-06-06 23:15:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
18%|ββ | 36/195 [00:28<01:16, 2.09it/s]
[2024-06-06 23:15:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
18%|ββ | 36/195 [00:28<01:16, 2.09it/s]
19%|ββ | 38/195 [00:28<01:01, 2.57it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
19%|ββ | 38/195 [00:30<01:01, 2.57it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
19%|ββ | 38/195 [00:30<01:01, 2.57it/s]
20%|ββ | 39/195 [00:30<01:59, 1.30it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
20%|ββ | 39/195 [00:30<01:59, 1.30it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
20%|ββ | 39/195 [00:30<01:59, 1.30it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
20%|ββ | 39/195 [00:30<01:59, 1.30it/s]
21%|ββ | 41/195 [00:30<01:27, 1.76it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
21%|ββ | 41/195 [00:31<01:27, 1.76it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
21%|ββ | 41/195 [00:31<01:27, 1.76it/s]
[2024-06-06 23:15:07] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
21%|ββ | 41/195 [00:31<01:27, 1.76it/s]
[2024-06-06 23:15:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
21%|ββ | 41/195 [00:31<01:27, 1.76it/s]
[2024-06-06 23:15:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
21%|ββ | 41/195 [00:31<01:27, 1.76it/s]
23%|βββ | 44/195 [00:31<00:58, 2.57it/s]
[2024-06-06 23:15:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
23%|βββ | 44/195 [00:33<00:58, 2.57it/s]
[2024-06-06 23:15:10] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
23%|βββ | 44/195 [00:34<00:58, 2.57it/s]
23%|βββ | 45/195 [00:34<01:56, 1.28it/s]
[2024-06-06 23:15:10] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
23%|βββ | 45/195 [00:34<01:56, 1.28it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
23%|βββ | 45/195 [00:34<01:56, 1.28it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
23%|βββ | 45/195 [00:34<01:56, 1.28it/s]
24%|βββ | 47/195 [00:34<01:26, 1.70it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
24%|βββ | 47/195 [00:34<01:26, 1.70it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
24%|βββ | 47/195 [00:34<01:26, 1.70it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
24%|βββ | 47/195 [00:34<01:26, 1.70it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
24%|βββ | 47/195 [00:34<01:26, 1.70it/s]
[2024-06-06 23:15:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
24%|βββ | 47/195 [00:35<01:26, 1.70it/s]
26%|βββ | 50/195 [00:35<01:01, 2.36it/s]
[2024-06-06 23:15:13] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
26%|βββ | 50/195 [00:37<01:01, 2.36it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
26%|βββ | 50/195 [00:37<01:01, 2.36it/s]
26%|βββ | 51/195 [00:37<01:48, 1.33it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
26%|βββ | 51/195 [00:37<01:48, 1.33it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
26%|βββ | 51/195 [00:37<01:48, 1.33it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
26%|βββ | 51/195 [00:37<01:48, 1.33it/s]
27%|βββ | 53/195 [00:37<01:17, 1.84it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
27%|βββ | 53/195 [00:37<01:17, 1.84it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
27%|βββ | 53/195 [00:37<01:17, 1.84it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
27%|βββ | 53/195 [00:37<01:17, 1.84it/s]
[2024-06-06 23:15:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
27%|βββ | 53/195 [00:38<01:17, 1.84it/s]
[2024-06-06 23:15:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
27%|βββ | 53/195 [00:38<01:17, 1.84it/s]
29%|βββ | 56/195 [00:38<00:57, 2.43it/s]
[2024-06-06 23:15:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
29%|βββ | 56/195 [00:40<00:57, 2.43it/s]
[2024-06-06 23:15:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
29%|βββ | 56/195 [00:40<00:57, 2.43it/s]
29%|βββ | 57/195 [00:40<01:44, 1.32it/s]
[2024-06-06 23:15:17] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
29%|βββ | 57/195 [00:40<01:44, 1.32it/s]
[2024-06-06 23:15:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
29%|βββ | 57/195 [00:41<01:44, 1.32it/s]
[2024-06-06 23:15:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
29%|βββ | 57/195 [00:41<01:44, 1.32it/s]
30%|βββ | 59/195 [00:41<01:14, 1.83it/s]
[2024-06-06 23:15:17] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
30%|βββ | 59/195 [00:41<01:14, 1.83it/s]
[2024-06-06 23:15:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
30%|βββ | 59/195 [00:41<01:14, 1.83it/s]
31%|βββ | 60/195 [00:41<01:04, 2.09it/s]
[2024-06-06 23:15:18] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00001-of-00004.safetensors |
|
31%|βββ | 60/195 [00:41<01:04, 2.09it/s]
[2024-06-06 23:15:18] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00002-of-00004.safetensors |
|
31%|βββ | 60/195 [00:41<01:04, 2.09it/s]
[2024-06-06 23:15:18] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
31%|βββ | 60/195 [00:41<01:04, 2.09it/s]
31%|ββββ | 61/195 [00:41<00:58, 2.29it/s]
[2024-06-06 23:15:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
31%|ββββ | 61/195 [00:41<00:58, 2.29it/s]
[2024-06-06 23:15:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
31%|ββββ | 61/195 [00:41<00:58, 2.29it/s]
32%|ββββ | 62/195 [00:41<00:59, 2.23it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
32%|ββββ | 62/195 [00:44<00:59, 2.23it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
32%|ββββ | 62/195 [00:44<00:59, 2.23it/s]
32%|ββββ | 63/195 [00:44<02:05, 1.05it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
32%|ββββ | 63/195 [00:44<02:05, 1.05it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
32%|ββββ | 63/195 [00:44<02:05, 1.05it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
32%|ββββ | 63/195 [00:44<02:05, 1.05it/s]
33%|ββββ | 65/195 [00:44<01:21, 1.60it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
33%|ββββ | 65/195 [00:44<01:21, 1.60it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
33%|ββββ | 65/195 [00:44<01:21, 1.60it/s]
[2024-06-06 23:15:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
33%|ββββ | 65/195 [00:44<01:21, 1.60it/s]
[2024-06-06 23:15:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
33%|ββββ | 65/195 [00:45<01:21, 1.60it/s]
[2024-06-06 23:15:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
33%|ββββ | 65/195 [00:45<01:21, 1.60it/s]
35%|ββββ | 68/195 [00:45<00:53, 2.37it/s]
[2024-06-06 23:15:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
35%|ββββ | 68/195 [00:47<00:53, 2.37it/s]
[2024-06-06 23:15:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
35%|ββββ | 68/195 [00:48<00:53, 2.37it/s]
35%|ββββ | 69/195 [00:48<01:44, 1.20it/s]
[2024-06-06 23:15:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
35%|ββββ | 69/195 [00:48<01:44, 1.20it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
35%|ββββ | 69/195 [00:48<01:44, 1.20it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
35%|ββββ | 69/195 [00:48<01:44, 1.20it/s]
36%|ββββ | 71/195 [00:48<01:13, 1.69it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
36%|ββββ | 71/195 [00:48<01:13, 1.69it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
36%|ββββ | 71/195 [00:48<01:13, 1.69it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
36%|ββββ | 71/195 [00:48<01:13, 1.69it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
36%|ββββ | 71/195 [00:48<01:13, 1.69it/s]
[2024-06-06 23:15:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
36%|ββββ | 71/195 [00:48<01:13, 1.69it/s]
38%|ββββ | 74/195 [00:48<00:50, 2.39it/s]
[2024-06-06 23:15:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
38%|ββββ | 74/195 [00:50<00:50, 2.39it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
38%|ββββ | 74/195 [00:51<00:50, 2.39it/s]
38%|ββββ | 75/195 [00:51<01:31, 1.31it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
38%|ββββ | 75/195 [00:51<01:31, 1.31it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
38%|ββββ | 75/195 [00:51<01:31, 1.31it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
38%|ββββ | 75/195 [00:51<01:31, 1.31it/s]
39%|ββββ | 77/195 [00:51<01:04, 1.83it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
39%|ββββ | 77/195 [00:51<01:04, 1.83it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
39%|ββββ | 77/195 [00:51<01:04, 1.83it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
39%|ββββ | 77/195 [00:51<01:04, 1.83it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
39%|ββββ | 77/195 [00:51<01:04, 1.83it/s]
[2024-06-06 23:15:28] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
39%|ββββ | 77/195 [00:51<01:04, 1.83it/s]
41%|ββββ | 80/195 [00:52<00:46, 2.48it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
41%|ββββ | 80/195 [00:54<00:46, 2.48it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
41%|ββββ | 80/195 [00:54<00:46, 2.48it/s]
42%|βββββ | 81/195 [00:54<01:28, 1.29it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
42%|βββββ | 81/195 [00:54<01:28, 1.29it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
42%|βββββ | 81/195 [00:54<01:28, 1.29it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
42%|βββββ | 81/195 [00:54<01:28, 1.29it/s]
43%|βββββ | 83/195 [00:54<01:02, 1.79it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
43%|βββββ | 83/195 [00:55<01:02, 1.79it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
43%|βββββ | 83/195 [00:55<01:02, 1.79it/s]
43%|βββββ | 84/195 [00:55<00:54, 2.04it/s]
[2024-06-06 23:15:31] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
43%|βββββ | 84/195 [00:55<00:54, 2.04it/s]
[2024-06-06 23:15:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
43%|βββββ | 84/195 [00:55<00:54, 2.04it/s]
[2024-06-06 23:15:32] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
43%|βββββ | 84/195 [00:55<00:54, 2.04it/s]
44%|βββββ | 86/195 [00:55<00:42, 2.59it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
44%|βββββ | 86/195 [00:57<00:42, 2.59it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
44%|βββββ | 86/195 [00:57<00:42, 2.59it/s]
45%|βββββ | 87/195 [00:57<01:16, 1.41it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
45%|βββββ | 87/195 [00:57<01:16, 1.41it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
45%|βββββ | 87/195 [00:57<01:16, 1.41it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
45%|βββββ | 87/195 [00:57<01:16, 1.41it/s]
46%|βββββ | 89/195 [00:57<00:54, 1.95it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
46%|βββββ | 89/195 [00:57<00:54, 1.95it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
46%|βββββ | 89/195 [00:57<00:54, 1.95it/s]
[2024-06-06 23:15:34] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
46%|βββββ | 89/195 [00:57<00:54, 1.95it/s]
[2024-06-06 23:15:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
46%|βββββ | 89/195 [00:58<00:54, 1.95it/s]
[2024-06-06 23:15:35] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
46%|βββββ | 89/195 [00:58<00:54, 1.95it/s]
47%|βββββ | 92/195 [00:58<00:36, 2.81it/s]
[2024-06-06 23:15:36] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
47%|βββββ | 92/195 [00:59<00:36, 2.81it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
47%|βββββ | 92/195 [01:00<00:36, 2.81it/s]
48%|βββββ | 93/195 [01:00<01:02, 1.62it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
48%|βββββ | 93/195 [01:00<01:02, 1.62it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
48%|βββββ | 93/195 [01:00<01:02, 1.62it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
48%|βββββ | 93/195 [01:00<01:02, 1.62it/s]
49%|βββββ | 95/195 [01:00<00:45, 2.18it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
49%|βββββ | 95/195 [01:00<00:45, 2.18it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
49%|βββββ | 95/195 [01:00<00:45, 2.18it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
49%|βββββ | 95/195 [01:00<00:45, 2.18it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
49%|βββββ | 95/195 [01:00<00:45, 2.18it/s]
[2024-06-06 23:15:37] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
49%|βββββ | 95/195 [01:00<00:45, 2.18it/s]
50%|βββββ | 98/195 [01:00<00:32, 2.99it/s]
[2024-06-06 23:15:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
50%|βββββ | 98/195 [01:02<00:32, 2.99it/s]
[2024-06-06 23:15:39] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
50%|βββββ | 98/195 [01:02<00:32, 2.99it/s]
51%|βββββ | 99/195 [01:03<00:59, 1.60it/s]
[2024-06-06 23:15:39] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
51%|βββββ | 99/195 [01:03<00:59, 1.60it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
51%|βββββ | 99/195 [01:03<00:59, 1.60it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
51%|βββββ | 99/195 [01:03<00:59, 1.60it/s]
52%|ββββββ | 101/195 [01:03<00:42, 2.20it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
52%|ββββββ | 101/195 [01:03<00:42, 2.20it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
52%|ββββββ | 101/195 [01:03<00:42, 2.20it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
52%|ββββββ | 101/195 [01:03<00:42, 2.20it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
52%|ββββββ | 101/195 [01:03<00:42, 2.20it/s]
[2024-06-06 23:15:40] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
52%|ββββββ | 101/195 [01:03<00:42, 2.20it/s]
53%|ββββββ | 104/195 [01:03<00:31, 2.85it/s]
[2024-06-06 23:15:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
53%|ββββββ | 104/195 [01:05<00:31, 2.85it/s]
[2024-06-06 23:15:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
53%|ββββββ | 104/195 [01:05<00:31, 2.85it/s]
54%|ββββββ | 105/195 [01:05<00:54, 1.64it/s]
[2024-06-06 23:15:42] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
54%|ββββββ | 105/195 [01:05<00:54, 1.64it/s]
[2024-06-06 23:15:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
54%|ββββββ | 105/195 [01:05<00:54, 1.64it/s]
[2024-06-06 23:15:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
54%|ββββββ | 105/195 [01:05<00:54, 1.64it/s]
55%|ββββββ | 107/195 [01:05<00:39, 2.24it/s]
[2024-06-06 23:15:42] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
55%|ββββββ | 107/195 [01:06<00:39, 2.24it/s]
[2024-06-06 23:15:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
55%|ββββββ | 107/195 [01:06<00:39, 2.24it/s]
55%|ββββββ | 108/195 [01:06<00:34, 2.51it/s]
[2024-06-06 23:15:43] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
55%|ββββββ | 108/195 [01:06<00:34, 2.51it/s]
[2024-06-06 23:15:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
55%|ββββββ | 108/195 [01:06<00:34, 2.51it/s]
[2024-06-06 23:15:43] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
55%|ββββββ | 108/195 [01:06<00:34, 2.51it/s]
56%|ββββββ | 110/195 [01:06<00:27, 3.04it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
56%|ββββββ | 110/195 [01:08<00:27, 3.04it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
56%|ββββββ | 110/195 [01:08<00:27, 3.04it/s]
57%|ββββββ | 111/195 [01:08<00:54, 1.54it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
57%|ββββββ | 111/195 [01:08<00:54, 1.54it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
57%|ββββββ | 111/195 [01:08<00:54, 1.54it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
57%|ββββββ | 111/195 [01:08<00:54, 1.54it/s]
58%|ββββββ | 113/195 [01:08<00:38, 2.11it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
58%|ββββββ | 113/195 [01:08<00:38, 2.11it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
58%|ββββββ | 113/195 [01:08<00:38, 2.11it/s]
[2024-06-06 23:15:45] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
58%|ββββββ | 113/195 [01:08<00:38, 2.11it/s]
[2024-06-06 23:15:46] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
58%|ββββββ | 113/195 [01:09<00:38, 2.11it/s]
[2024-06-06 23:15:46] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
58%|ββββββ | 113/195 [01:09<00:38, 2.11it/s]
59%|ββββββ | 116/195 [01:09<00:26, 2.97it/s]
[2024-06-06 23:15:47] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
59%|ββββββ | 116/195 [01:11<00:26, 2.97it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
59%|ββββββ | 116/195 [01:11<00:26, 2.97it/s]
60%|ββββββ | 117/195 [01:11<00:49, 1.58it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
60%|ββββββ | 117/195 [01:11<00:49, 1.58it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
60%|ββββββ | 117/195 [01:11<00:49, 1.58it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
60%|ββββββ | 117/195 [01:11<00:49, 1.58it/s]
61%|ββββββ | 119/195 [01:11<00:35, 2.12it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
61%|ββββββ | 119/195 [01:11<00:35, 2.12it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
61%|ββββββ | 119/195 [01:11<00:35, 2.12it/s]
[2024-06-06 23:15:48] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors |
|
61%|ββββββ | 119/195 [01:11<00:35, 2.12it/s]
[2024-06-06 23:15:50] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
61%|ββββββ | 119/195 [01:13<00:35, 2.12it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
61%|ββββββ | 119/195 [01:14<00:35, 2.12it/s]
62%|βββββββ | 121/195 [01:14<00:54, 1.37it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
62%|βββββββ | 121/195 [01:14<00:54, 1.37it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
62%|βββββββ | 121/195 [01:14<00:54, 1.37it/s]
63%|βββββββ | 122/195 [01:14<00:47, 1.53it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
63%|βββββββ | 122/195 [01:14<00:47, 1.53it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
63%|βββββββ | 122/195 [01:14<00:47, 1.53it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
63%|βββββββ | 122/195 [01:14<00:47, 1.53it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
63%|βββββββ | 122/195 [01:14<00:47, 1.53it/s]
[2024-06-06 23:15:51] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
63%|βββββββ | 122/195 [01:15<00:47, 1.53it/s]
64%|βββββββ | 125/195 [01:15<00:30, 2.26it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
64%|βββββββ | 125/195 [01:17<00:30, 2.26it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
64%|βββββββ | 125/195 [01:17<00:30, 2.26it/s]
65%|βββββββ | 126/195 [01:17<00:57, 1.21it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
65%|βββββββ | 126/195 [01:17<00:57, 1.21it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
65%|βββββββ | 126/195 [01:17<00:57, 1.21it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
65%|βββββββ | 126/195 [01:17<00:57, 1.21it/s]
66%|βββββββ | 128/195 [01:17<00:39, 1.72it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
66%|βββββββ | 128/195 [01:17<00:39, 1.72it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
66%|βββββββ | 128/195 [01:17<00:39, 1.72it/s]
[2024-06-06 23:15:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
66%|βββββββ | 128/195 [01:17<00:39, 1.72it/s]
[2024-06-06 23:15:55] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
66%|βββββββ | 128/195 [01:18<00:39, 1.72it/s]
[2024-06-06 23:15:55] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
66%|βββββββ | 128/195 [01:18<00:39, 1.72it/s]
67%|βββββββ | 131/195 [01:18<00:28, 2.28it/s]
[2024-06-06 23:15:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
67%|βββββββ | 131/195 [01:18<00:28, 2.28it/s]
[2024-06-06 23:15:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
67%|βββββββ | 131/195 [01:18<00:28, 2.28it/s]
[2024-06-06 23:15:55] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
67%|βββββββ | 131/195 [01:19<00:28, 2.28it/s]
[2024-06-06 23:15:55] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
67%|βββββββ | 131/195 [01:19<00:28, 2.28it/s]
69%|βββββββ | 134/195 [01:19<00:21, 2.87it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
69%|βββββββ | 134/195 [01:21<00:21, 2.87it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
69%|βββββββ | 134/195 [01:21<00:21, 2.87it/s]
69%|βββββββ | 135/195 [01:21<00:41, 1.46it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
69%|βββββββ | 135/195 [01:21<00:41, 1.46it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
69%|βββββββ | 135/195 [01:21<00:41, 1.46it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
69%|βββββββ | 135/195 [01:21<00:41, 1.46it/s]
70%|βββββββ | 137/195 [01:21<00:29, 1.98it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
70%|βββββββ | 137/195 [01:22<00:29, 1.98it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
70%|βββββββ | 137/195 [01:22<00:29, 1.98it/s]
71%|βββββββ | 138/195 [01:22<00:25, 2.23it/s]
[2024-06-06 23:15:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
71%|βββββββ | 138/195 [01:22<00:25, 2.23it/s]
[2024-06-06 23:15:59] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
71%|βββββββ | 138/195 [01:22<00:25, 2.23it/s]
[2024-06-06 23:15:59] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
71%|βββββββ | 138/195 [01:22<00:25, 2.23it/s]
72%|ββββββββ | 140/195 [01:22<00:21, 2.61it/s]
[2024-06-06 23:16:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
72%|ββββββββ | 140/195 [01:24<00:21, 2.61it/s]
[2024-06-06 23:16:01] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
72%|ββββββββ | 140/195 [01:25<00:21, 2.61it/s]
72%|ββββββββ | 141/195 [01:25<00:42, 1.28it/s]
[2024-06-06 23:16:01] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.22.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
72%|ββββββββ | 141/195 [01:25<00:42, 1.28it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
72%|ββββββββ | 141/195 [01:25<00:42, 1.28it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
72%|ββββββββ | 141/195 [01:25<00:42, 1.28it/s]
73%|ββββββββ | 143/195 [01:25<00:29, 1.78it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
73%|ββββββββ | 143/195 [01:25<00:29, 1.78it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
73%|ββββββββ | 143/195 [01:25<00:29, 1.78it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
73%|ββββββββ | 143/195 [01:25<00:29, 1.78it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
73%|ββββββββ | 143/195 [01:25<00:29, 1.78it/s]
[2024-06-06 23:16:02] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
73%|ββββββββ | 143/195 [01:25<00:29, 1.78it/s]
75%|ββββββββ | 146/195 [01:25<00:19, 2.54it/s]
[2024-06-06 23:16:04] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
75%|ββββββββ | 146/195 [01:28<00:19, 2.54it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
75%|ββββββββ | 146/195 [01:28<00:19, 2.54it/s]
75%|ββββββββ | 147/195 [01:28<00:35, 1.36it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
75%|ββββββββ | 147/195 [01:28<00:35, 1.36it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
75%|ββββββββ | 147/195 [01:28<00:35, 1.36it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
75%|ββββββββ | 147/195 [01:28<00:35, 1.36it/s]
76%|ββββββββ | 149/195 [01:28<00:24, 1.85it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
76%|ββββββββ | 149/195 [01:28<00:24, 1.85it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
76%|ββββββββ | 149/195 [01:28<00:24, 1.85it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
76%|ββββββββ | 149/195 [01:28<00:24, 1.85it/s]
[2024-06-06 23:16:05] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
76%|ββββββββ | 149/195 [01:29<00:24, 1.85it/s]
[2024-06-06 23:16:06] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
76%|ββββββββ | 149/195 [01:29<00:24, 1.85it/s]
78%|ββββββββ | 152/195 [01:29<00:16, 2.54it/s]
[2024-06-06 23:16:07] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
78%|ββββββββ | 152/195 [01:31<00:16, 2.54it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
78%|ββββββββ | 152/195 [01:31<00:16, 2.54it/s]
78%|ββββββββ | 153/195 [01:31<00:30, 1.39it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.24.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
78%|ββββββββ | 153/195 [01:31<00:30, 1.39it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
78%|ββββββββ | 153/195 [01:31<00:30, 1.39it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
78%|ββββββββ | 153/195 [01:31<00:30, 1.39it/s]
79%|ββββββββ | 155/195 [01:31<00:20, 1.93it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
79%|ββββββββ | 155/195 [01:31<00:20, 1.93it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
79%|ββββββββ | 155/195 [01:31<00:20, 1.93it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
79%|ββββββββ | 155/195 [01:31<00:20, 1.93it/s]
[2024-06-06 23:16:08] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
79%|ββββββββ | 155/195 [01:32<00:20, 1.93it/s]
[2024-06-06 23:16:09] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
79%|ββββββββ | 155/195 [01:32<00:20, 1.93it/s]
81%|ββββββββ | 158/195 [01:32<00:14, 2.52it/s]
[2024-06-06 23:16:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
81%|ββββββββ | 158/195 [01:34<00:14, 2.52it/s]
[2024-06-06 23:16:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
81%|ββββββββ | 158/195 [01:34<00:14, 2.52it/s]
82%|βββββββββ | 159/195 [01:34<00:26, 1.35it/s]
[2024-06-06 23:16:11] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.25.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
82%|βββββββββ | 159/195 [01:34<00:26, 1.35it/s]
[2024-06-06 23:16:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
82%|βββββββββ | 159/195 [01:35<00:26, 1.35it/s]
[2024-06-06 23:16:11] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
82%|βββββββββ | 159/195 [01:35<00:26, 1.35it/s]
83%|βββββββββ | 161/195 [01:35<00:18, 1.86it/s]
[2024-06-06 23:16:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
83%|βββββββββ | 161/195 [01:35<00:18, 1.86it/s]
[2024-06-06 23:16:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
83%|βββββββββ | 161/195 [01:35<00:18, 1.86it/s]
83%|βββββββββ | 162/195 [01:35<00:15, 2.12it/s]
[2024-06-06 23:16:12] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
83%|βββββββββ | 162/195 [01:35<00:15, 2.12it/s]
[2024-06-06 23:16:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
83%|βββββββββ | 162/195 [01:35<00:15, 2.12it/s]
[2024-06-06 23:16:12] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
83%|βββββββββ | 162/195 [01:35<00:15, 2.12it/s]
84%|βββββββββ | 164/195 [01:35<00:12, 2.45it/s]
[2024-06-06 23:16:14] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
84%|βββββββββ | 164/195 [01:38<00:12, 2.45it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
84%|βββββββββ | 164/195 [01:38<00:12, 2.45it/s]
85%|βββββββββ | 165/195 [01:38<00:25, 1.19it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.26.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
85%|βββββββββ | 165/195 [01:38<00:25, 1.19it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
85%|βββββββββ | 165/195 [01:38<00:25, 1.19it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
85%|βββββββββ | 165/195 [01:38<00:25, 1.19it/s]
86%|βββββββββ | 167/195 [01:38<00:16, 1.68it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
86%|βββββββββ | 167/195 [01:38<00:16, 1.68it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
86%|βββββββββ | 167/195 [01:38<00:16, 1.68it/s]
[2024-06-06 23:16:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
86%|βββββββββ | 167/195 [01:38<00:16, 1.68it/s]
[2024-06-06 23:16:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
86%|βββββββββ | 167/195 [01:39<00:16, 1.68it/s]
[2024-06-06 23:16:16] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
86%|βββββββββ | 167/195 [01:39<00:16, 1.68it/s]
87%|βββββββββ | 170/195 [01:39<00:10, 2.36it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
87%|βββββββββ | 170/195 [01:41<00:10, 2.36it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
87%|βββββββββ | 170/195 [01:41<00:10, 2.36it/s]
88%|βββββββββ | 171/195 [01:41<00:18, 1.31it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.27.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
88%|βββββββββ | 171/195 [01:41<00:18, 1.31it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
88%|βββββββββ | 171/195 [01:41<00:18, 1.31it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
88%|βββββββββ | 171/195 [01:42<00:18, 1.31it/s]
89%|βββββββββ | 173/195 [01:42<00:12, 1.81it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
89%|βββββββββ | 173/195 [01:42<00:12, 1.81it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
89%|βββββββββ | 173/195 [01:42<00:12, 1.81it/s]
[2024-06-06 23:16:18] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.28.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
89%|βββββββββ | 173/195 [01:42<00:12, 1.81it/s]
[2024-06-06 23:16:19] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
89%|βββββββββ | 173/195 [01:42<00:12, 1.81it/s]
[2024-06-06 23:16:19] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
89%|βββββββββ | 173/195 [01:42<00:12, 1.81it/s]
90%|βββββββββ | 176/195 [01:42<00:07, 2.57it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
90%|βββββββββ | 176/195 [01:44<00:07, 2.57it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
90%|βββββββββ | 176/195 [01:44<00:07, 2.57it/s]
91%|βββββββββ | 177/195 [01:44<00:12, 1.47it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.28.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
91%|βββββββββ | 177/195 [01:44<00:12, 1.47it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
91%|βββββββββ | 177/195 [01:44<00:12, 1.47it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
91%|βββββββββ | 177/195 [01:44<00:12, 1.47it/s]
92%|ββββββββββ| 179/195 [01:44<00:07, 2.03it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
92%|ββββββββββ| 179/195 [01:44<00:07, 2.03it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
92%|ββββββββββ| 179/195 [01:44<00:07, 2.03it/s]
[2024-06-06 23:16:21] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.29.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
92%|ββββββββββ| 179/195 [01:44<00:07, 2.03it/s]
[2024-06-06 23:16:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
92%|ββββββββββ| 179/195 [01:45<00:07, 2.03it/s]
[2024-06-06 23:16:22] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
92%|ββββββββββ| 179/195 [01:45<00:07, 2.03it/s]
93%|ββββββββββ| 182/195 [01:45<00:04, 2.68it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
93%|ββββββββββ| 182/195 [01:47<00:04, 2.68it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
93%|ββββββββββ| 182/195 [01:47<00:04, 2.68it/s]
94%|ββββββββββ| 183/195 [01:47<00:08, 1.46it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.29.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
94%|ββββββββββ| 183/195 [01:47<00:08, 1.46it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
94%|ββββββββββ| 183/195 [01:47<00:08, 1.46it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
94%|ββββββββββ| 183/195 [01:47<00:08, 1.46it/s]
95%|ββββββββββ| 185/195 [01:47<00:04, 2.01it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
95%|ββββββββββ| 185/195 [01:47<00:04, 2.01it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
95%|ββββββββββ| 185/195 [01:48<00:04, 2.01it/s]
95%|ββββββββββ| 186/195 [01:48<00:03, 2.27it/s]
[2024-06-06 23:16:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.30.input_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
95%|ββββββββββ| 186/195 [01:48<00:03, 2.27it/s]
[2024-06-06 23:16:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_weight[0m", shape: (4096, 1792), dtype: uint32 |
|
95%|ββββββββββ| 186/195 [01:48<00:03, 2.27it/s]
[2024-06-06 23:16:25] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_scale[0m", shape: (4096, 448), dtype: float32 |
|
95%|ββββββββββ| 186/195 [01:48<00:03, 2.27it/s]
96%|ββββββββββ| 188/195 [01:48<00:02, 2.83it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
96%|ββββββββββ| 188/195 [01:50<00:02, 2.83it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
96%|ββββββββββ| 188/195 [01:50<00:02, 2.83it/s]
97%|ββββββββββ| 189/195 [01:50<00:04, 1.40it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mmodel.layers.30.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float32 |
|
97%|ββββββββββ| 189/195 [01:50<00:04, 1.40it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
97%|ββββββββββ| 189/195 [01:50<00:04, 1.40it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
97%|ββββββββββ| 189/195 [01:50<00:04, 1.40it/s]
98%|ββββββββββ| 191/195 [01:50<00:02, 1.95it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
98%|ββββββββββ| 191/195 [01:51<00:02, 1.95it/s]
[2024-06-06 23:16:27] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
98%|ββββββββββ| 191/195 [01:51<00:02, 1.95it/s]
[2024-06-06 23:16:29] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_weight[0m", shape: (28672, 512), dtype: uint32 |
|
98%|ββββββββββ| 191/195 [01:53<00:02, 1.95it/s]
[2024-06-06 23:16:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_scale[0m", shape: (28672, 128), dtype: float32 |
|
98%|ββββββββββ| 191/195 [01:53<00:02, 1.95it/s]
99%|ββββββββββ| 193/195 [01:53<00:01, 1.33it/s]
[2024-06-06 23:16:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_weight[0m", shape: (6144, 512), dtype: uint32 |
|
99%|ββββββββββ| 193/195 [01:53<00:01, 1.33it/s]
[2024-06-06 23:16:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_scale[0m", shape: (6144, 128), dtype: float32 |
|
99%|ββββββββββ| 193/195 [01:53<00:01, 1.33it/s]
99%|ββββββββββ| 194/195 [01:53<00:00, 1.56it/s]
[2024-06-06 23:16:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
99%|ββββββββββ| 194/195 [01:53<00:00, 1.56it/s]
[2024-06-06 23:16:30] INFO huggingface_loader.py:167: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float32 |
|
99%|ββββββββββ| 194/195 [01:53<00:00, 1.56it/s]
100%|ββββββββββ| 195/195 [01:53<00:00, 1.83it/s]
100%|ββββββββββ| 195/195 [01:53<00:00, 1.71it/s] |
|
[2024-06-06 23:16:30] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00002-of-00004.safetensors |
|
[2024-06-06 23:16:30] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Hermes-2-Pro-Llama-3-8B/model-00003-of-00004.safetensors |
|
[2024-06-06 23:16:31] INFO stats.py:77: [92mTime usage[0m: HF loading: 1.576 sec; Pre-quantization mapping: 84.298 sec; Quantization: 3.067 sec |
|
[2024-06-06 23:16:31] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 9.235 GB. Total bytes loaded from disk: 14.958 GB |
|
[2024-06-06 23:16:31] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 4.675 GB |
|
[2024-06-06 23:16:31] INFO convert_weight.py:160: [92mTotal parameters[0m: 8,030,523,392 |
|
[2024-06-06 23:16:31] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.001 |
|
[2024-06-06 23:16:31] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC[0m |
|
|
|
All finished, 108 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/ndarray-cache.json |
|
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Hermes-2-Pro-Llama-3-8B-q4f32_1-MLC/ndarray-cache-b16.json |
|
|