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/home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat gen_config /models/gemma-2b-it --quantization q0f16 --conv-template gemma_instruction --output /tmp/tmp5z9hcfjh --context-window-size 8192 --prefill-chunk-size 1024 [2024-02-21 21:55:25] INFO auto_config.py:115: [92mFound[0m model configuration: /models/gemma-2b-it/config.json [2024-02-21 21:55:25] INFO auto_config.py:153: [92mFound[0m model type: [1mgemma[0m. Use `--model-type` to override. [2024-02-21 21:55:25] INFO gemma_model.py:55: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) [2024-02-21 21:55:25] INFO gemma_model.py:70: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (8192) [2024-02-21 21:55:25] INFO config.py:106: Overriding [1mcontext_window_size[0m from 8192 to 8192 [2024-02-21 21:55:25] INFO config.py:106: Overriding [1mprefill_chunk_size[0m from 8192 to 1024 [2024-02-21 21:55:25] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-02-21 21:55:25] INFO gen_config.py:121: [generation_config.json] Setting [1mbos_token_id[0m: 2 [2024-02-21 21:55:25] INFO gen_config.py:121: [generation_config.json] Setting [1meos_token_id[0m: 1 [2024-02-21 21:55:25] INFO gen_config.py:121: [generation_config.json] Setting [1mpad_token_id[0m: 0 [2024-02-21 21:55:25] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer.model. Copying to [1m/tmp/tmp5z9hcfjh/tokenizer.model[0m [2024-02-21 21:55:25] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer.json. Copying to [1m/tmp/tmp5z9hcfjh/tokenizer.json[0m [2024-02-21 21:55:25] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/vocab.json [2024-02-21 21:55:25] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/merges.txt [2024-02-21 21:55:25] INFO gen_config.py:135: [91mNot found[0m tokenizer config: /models/gemma-2b-it/added_tokens.json [2024-02-21 21:55:25] INFO gen_config.py:133: [92mFound[0m tokenizer config: /models/gemma-2b-it/tokenizer_config.json. Copying to [1m/tmp/tmp5z9hcfjh/tokenizer_config.json[0m [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mtemperature[0m: 0.7 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mrepetition_penalty[0m: 1.0 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mtop_p[0m: 0.95 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mmean_gen_len[0m: 128 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mmax_gen_len[0m: 512 [2024-02-21 21:55:25] INFO gen_config.py:74: [System default] Setting [1mshift_fill_factor[0m: 0.3 [2024-02-21 21:55:25] INFO gen_config.py:186: Dumping configuration file to: [1m/tmp/tmp5z9hcfjh/mlc-chat-config.json[0m /home/cfruan/.conda/envs/mlc-source-311/bin/python -m mlc_chat convert_weight /models/gemma-2b-it --quantization q0f16 --source-format auto --output /tmp/tmp5z9hcfjh [2024-02-21 21:55:27] INFO auto_config.py:115: [92mFound[0m model configuration: /models/gemma-2b-it/config.json [2024-02-21 21:55:29] INFO auto_device.py:76: [92mFound[0m device: cuda:0 [2024-02-21 21:55:29] INFO auto_device.py:76: [92mFound[0m device: cuda:1 [2024-02-21 21:55:30] INFO auto_device.py:85: [91mNot found[0m device: rocm:0 [2024-02-21 21:55:31] INFO auto_device.py:85: [91mNot found[0m device: metal:0 [2024-02-21 21:55:41] INFO auto_device.py:76: [92mFound[0m device: vulkan:0 [2024-02-21 21:55:41] INFO auto_device.py:76: [92mFound[0m device: vulkan:1 [2024-02-21 21:55:41] INFO auto_device.py:76: [92mFound[0m device: vulkan:2 [2024-02-21 21:55:42] INFO auto_device.py:85: [91mNot found[0m device: opencl:0 [2024-02-21 21:55:42] INFO auto_device.py:33: Using device: [1mcuda:0[0m [2024-02-21 21:55:42] INFO auto_weight.py:70: Finding weights in: /models/gemma-2b-it [2024-02-21 21:55:42] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch [2024-02-21 21:55:42] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/gemma-2b-it/model.safetensors.index.json [2024-02-21 21:55:42] INFO auto_weight.py:106: Using source weight configuration: [1m/models/gemma-2b-it/model.safetensors.index.json[0m. Use `--source` to override. [2024-02-21 21:55:42] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-02-21 21:55:42] INFO auto_config.py:153: [92mFound[0m model type: [1mgemma[0m. Use `--model-type` to override. [2024-02-21 21:55:42] INFO gemma_model.py:55: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192) [2024-02-21 21:55:42] INFO gemma_model.py:70: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (8192) [1mWeight conversion with arguments:[0m [1m--config[0m /models/gemma-2b-it/config.json [1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') [1m--model-type[0m gemma [1m--device[0m cuda:0 [1m--source[0m /models/gemma-2b-it/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m /tmp/tmp5z9hcfjh 0%| | 0/110 [00:00<?, ?it/s] [2024-02-21 21:55:43] INFO huggingface_loader.py:182: Loading HF parameters from: /models/gemma-2b-it/model-00001-of-00002.safetensors 0%| | 0/110 [00:00<?, ?it/s] [2024-02-21 21:56:00] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.embed_tokens.weight[0m", shape: (256000, 2048), dtype: float16 0%| | 0/110 [00:16<?, ?it/s] 1%|βββ | 1/110 [00:17<31:55, 17.57s/it] [2024-02-21 21:56:01] INFO huggingface_loader.py:172: 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INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 8%|βββββββββββββββββββββ | 9/110 [00:19<01:36, 1.04it/s] 10%|βββββββββββββββββββββββββ | 11/110 [00:19<01:14, 1.33it/s] [2024-02-21 21:56:02] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 10%|βββββββββββββββββββββββββ | 11/110 [00:19<01:14, 1.33it/s] [2024-02-21 21:56:02] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 10%|βββββββββββββββββββββββββ | 11/110 [00:19<01:14, 1.33it/s] [2024-02-21 21:56:02] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (2048,), dtype: float16 10%|βββββββββββββββββββββββββ | 11/110 [00:19<01:14, 1.33it/s] [2024-02-21 21:56:02] INFO huggingface_loader.py:172: 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dtype: float16 37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/110 [00:22<00:10, 6.65it/s] [2024-02-21 21:56:06] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float16 37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 41/110 [00:22<00:10, 6.65it/s] 41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/110 [00:22<00:07, 8.53it/s] [2024-02-21 21:56:06] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float16 41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 45/110 [00:23<00:07, 8.53it/s] [2024-02-21 21:56:06] INFO huggingface_loader.py:172: [Not quantized] Parameter: 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62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/110 [00:26<00:05, 7.08it/s] [2024-02-21 21:56:09] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/110 [00:26<00:05, 7.08it/s] [2024-02-21 21:56:09] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (2048,), dtype: float16 62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/110 [00:26<00:05, 7.08it/s] [2024-02-21 21:56:09] INFO huggingface_loader.py:172: [Not quantized] Parameter: 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dtype: float16 65%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 72/110 [00:26<00:04, 8.95it/s] 67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/110 [00:26<00:05, 7.19it/s] [2024-02-21 21:56:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/110 [00:26<00:05, 7.19it/s] [2024-02-21 21:56:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/110 [00:26<00:05, 7.19it/s] [2024-02-21 21:56:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (2048,), dtype: float16 67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/110 [00:26<00:05, 7.19it/s] [2024-02-21 21:56:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float16 67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/110 [00:27<00:05, 7.19it/s] 71%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/110 [00:27<00:03, 9.06it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float16 71%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/110 [00:27<00:03, 9.06it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 71%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/110 [00:27<00:03, 9.06it/s] 73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/110 [00:27<00:04, 7.25it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/110 [00:27<00:04, 7.25it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/110 [00:27<00:04, 7.25it/s] [2024-02-21 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INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float16 76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/110 [00:28<00:02, 9.12it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/110 [00:28<00:02, 9.12it/s] 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:28<00:03, 7.29it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:28<00:03, 7.29it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:28<00:03, 7.29it/s] [2024-02-21 21:56:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (2048,), dtype: float16 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:28<00:03, 7.29it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float16 78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/110 [00:28<00:03, 7.29it/s] 82%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/110 [00:28<00:02, 9.17it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float16 82%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/110 [00:29<00:02, 9.17it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 82%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/110 [00:29<00:02, 9.17it/s] 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:29<00:02, 7.31it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:29<00:02, 7.31it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:29<00:02, 7.31it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (2048,), dtype: float16 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:29<00:02, 7.31it/s] [2024-02-21 21:56:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.weight[0m", shape: (2048, 16384), dtype: float16 84%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/110 [00:29<00:02, 7.31it/s] 87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:29<00:01, 9.17it/s] [2024-02-21 21:56:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.weight[0m", shape: (32768, 2048), dtype: float16 87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:29<00:01, 9.17it/s] [2024-02-21 21:56:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float16 87%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/110 [00:29<00:01, 9.17it/s] 89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:29<00:01, 7.31it/s] [2024-02-21 21:56:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.weight[0m", shape: (2560, 2048), dtype: float16 89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:29<00:01, 7.31it/s] [2024-02-21 21:56:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.weight[0m", shape: (2048, 2048), dtype: float16 89%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/110 [00:29<00:01, 7.31it/s] [2024-02-21 21:56:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: 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[2024-02-21 21:56:15] INFO huggingface_loader.py:194: Unloading HF weight file: /models/gemma-2b-it/model-00002-of-00002.safetensors [2024-02-21 21:56:15] INFO stats.py:76: [92mTime usage[0m: HF loading: 12.100 sec; Pre-quantization mapping: 15.141 sec; Quantization: 0.000 sec [2024-02-21 21:56:15] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 9.211 GB. 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saving model.layers.5.input_layernorm.weight [0078/0110] saving model.layers.5.mlp.down_proj.weight [0079/0110] saving model.layers.5.mlp.gate_up_proj.weight [0080/0110] saving model.layers.5.post_attention_layernorm.weight [0081/0110] saving model.layers.5.self_attn.qkv_proj.weight [0082/0110] saving model.layers.5.self_attn.o_proj.weight [0083/0110] saving model.layers.6.input_layernorm.weight [0084/0110] saving model.layers.6.mlp.down_proj.weight [0085/0110] saving model.layers.6.mlp.gate_up_proj.weight [0086/0110] saving model.layers.6.post_attention_layernorm.weight [0087/0110] saving model.layers.6.self_attn.qkv_proj.weight [0088/0110] saving model.layers.6.self_attn.o_proj.weight [0089/0110] saving model.layers.7.input_layernorm.weight [0090/0110] saving model.layers.7.mlp.down_proj.weight [0091/0110] saving model.layers.7.mlp.gate_up_proj.weight [0092/0110] saving model.layers.7.post_attention_layernorm.weight [0093/0110] saving model.layers.7.self_attn.qkv_proj.weight [0094/0110] saving model.layers.7.self_attn.o_proj.weight [0095/0110] saving model.layers.8.input_layernorm.weight [0096/0110] saving model.layers.8.mlp.down_proj.weight [0097/0110] saving model.layers.8.mlp.gate_up_proj.weight [0098/0110] saving model.layers.8.post_attention_layernorm.weight [0099/0110] saving model.layers.8.self_attn.qkv_proj.weight [0100/0110] saving model.layers.8.self_attn.o_proj.weight [0101/0110] saving model.layers.9.input_layernorm.weight [0102/0110] saving model.layers.9.mlp.down_proj.weight [0103/0110] saving model.layers.9.mlp.gate_up_proj.weight [0104/0110] saving model.layers.9.post_attention_layernorm.weight [0105/0110] saving model.layers.9.self_attn.qkv_proj.weight [0106/0110] saving model.layers.9.self_attn.o_proj.weight [0107/0110] saving model.layers.17.input_layernorm.weight [0108/0110] saving model.layers.17.mlp.down_proj.weight [0109/0110] saving model.layers.17.post_attention_layernorm.weight [0110/0110] saving model.norm.weight All finished, 49 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