diff --git "a/logs.txt" "b/logs.txt"
new file mode 100644--- /dev/null
+++ "b/logs.txt"
@@ -0,0 +1,792 @@
+/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Mistral-7B-Instruct-v0.3 --quantization q4f16_1 --conv-template mistral_default --output /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+[2024-06-02 06:21:25] INFO auto_config.py:116: Found model configuration: /models/Mistral-7B-Instruct-v0.3/config.json
+[2024-06-02 06:21:25] INFO auto_config.py:154: Found model type: mistral. Use `--model-type` to override.
+[2024-06-02 06:21:25] INFO mistral_model.py:56: prefill_chunk_size defaults to 2048
+[2024-06-02 06:21:25] INFO config.py:107: Overriding max_batch_size from 1 to 80
+[2024-06-02 06:21:25] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 1
+[2024-06-02 06:21:25] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: 2
+[2024-06-02 06:21:25] INFO gen_config.py:155: Found tokenizer config: /models/Mistral-7B-Instruct-v0.3/tokenizer.model. Copying to /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/tokenizer.model
+[2024-06-02 06:21:25] INFO gen_config.py:155: Found tokenizer config: /models/Mistral-7B-Instruct-v0.3/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/tokenizer.json
+[2024-06-02 06:21:25] INFO gen_config.py:157: Not found tokenizer config: /models/Mistral-7B-Instruct-v0.3/vocab.json
+[2024-06-02 06:21:25] INFO gen_config.py:157: Not found tokenizer config: /models/Mistral-7B-Instruct-v0.3/merges.txt
+[2024-06-02 06:21:25] INFO gen_config.py:157: Not found tokenizer config: /models/Mistral-7B-Instruct-v0.3/added_tokens.json
+[2024-06-02 06:21:25] INFO gen_config.py:155: Found tokenizer config: /models/Mistral-7B-Instruct-v0.3/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/tokenizer_config.json
+[2024-06-02 06:21:25] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': False, 'strip_space_in_decode': True}
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting pad_token_id: 0
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting temperature: 1.0
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting top_p: 1.0
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting max_gen_len: 512
+[2024-06-02 06:21:25] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3
+[2024-06-02 06:21:25] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/mlc-chat-config.json
+/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Mistral-7B-Instruct-v0.3 --quantization q4f16_1 --output /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+[2024-06-02 06:21:27] INFO auto_config.py:116: Found model configuration: /models/Mistral-7B-Instruct-v0.3/config.json
+[2024-06-02 06:21:28] INFO auto_device.py:79: Found device: cuda:0
+[2024-06-02 06:21:30] INFO auto_device.py:88: Not found device: rocm:0
+[2024-06-02 06:21:31] INFO auto_device.py:88: Not found device: metal:0
+[2024-06-02 06:21:33] INFO auto_device.py:79: Found device: vulkan:0
+[2024-06-02 06:21:33] INFO auto_device.py:79: Found device: vulkan:1
+[2024-06-02 06:21:33] INFO auto_device.py:79: Found device: vulkan:2
+[2024-06-02 06:21:33] INFO auto_device.py:79: Found device: vulkan:3
+[2024-06-02 06:21:34] INFO auto_device.py:88: Not found device: opencl:0
+[2024-06-02 06:21:34] INFO auto_device.py:35: Using device: cuda:0
+[2024-06-02 06:21:34] INFO auto_weight.py:71: Finding weights in: /models/Mistral-7B-Instruct-v0.3
+[2024-06-02 06:21:34] INFO auto_weight.py:137: Not found Huggingface PyTorch
+[2024-06-02 06:21:34] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Mistral-7B-Instruct-v0.3/model.safetensors.index.json
+[2024-06-02 06:21:34] INFO auto_weight.py:107: Using source weight configuration: /models/Mistral-7B-Instruct-v0.3/model.safetensors.index.json. Use `--source` to override.
+[2024-06-02 06:21:34] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
+[2024-06-02 06:21:34] INFO auto_config.py:154: Found model type: mistral. Use `--model-type` to override.
+[2024-06-02 06:21:34] INFO mistral_model.py:56: prefill_chunk_size defaults to 2048
+Weight conversion with arguments:
+  --config          /models/Mistral-7B-Instruct-v0.3/config.json
+  --quantization    GroupQuantize(name='q4f16_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float16', 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)
+  --model-type      mistral
+  --device          cuda:0
+  --source          /models/Mistral-7B-Instruct-v0.3/model.safetensors.index.json
+  --source-format   huggingface-safetensor
+  --output          /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+Start storing to cache /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
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[2024-06-02 06:21:36] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Mistral-7B-Instruct-v0.3/model-00003-of-00003.safetensors
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[2024-06-02 06:21:42] INFO group_quantization.py:217: Compiling quantize function for key: ((32768, 4096), float16, cuda, axis=1, output_transpose=False)
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[2024-06-02 06:21:44] INFO huggingface_loader.py:167: [Quantized] Parameter: "model.layers.22.mlp.down_proj.q_weight", shape: (4096, 1792), dtype: uint32
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+[2024-06-02 06:22:40] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mistral-7B-Instruct-v0.3/model-00002-of-00003.safetensors
+[2024-06-02 06:22:40] INFO stats.py:77: Time usage: HF loading: 15.603 sec; Pre-quantization mapping: 33.218 sec; Quantization: 3.086 sec
+[2024-06-02 06:22:40] INFO stats.py:91: RAM usage: Peak RAM: 9.313 GB. Total bytes loaded from disk: 27.001 GB
+[2024-06-02 06:22:40] INFO convert_weight.py:155: Parameter size after quantization: 3.797 GB
+[2024-06-02 06:22:40] INFO convert_weight.py:160: Total parameters: 7,248,023,552
+[2024-06-02 06:22:40] INFO convert_weight.py:161: Bits per parameter: 4.500
+[2024-06-02 06:22:40] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+
+All finished, 106 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/ndarray-cache.json
+/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3 --quantization q4f16_1 --conv-template mistral_default --output /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+[2024-06-02 04:13:33] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/config.json
+[2024-06-02 04:13:33] INFO auto_config.py:153: Found model type: mistral. Use `--model-type` to override.
+[2024-06-02 04:13:33] INFO mistral_model.py:56: prefill_chunk_size defaults to 2048
+[2024-06-02 04:13:33] INFO config.py:106: Overriding max_batch_size from 1 to 80
+[2024-06-02 04:13:33] INFO gen_config.py:142: [generation_config.json] Setting bos_token_id: 1
+[2024-06-02 04:13:33] INFO gen_config.py:142: [generation_config.json] Setting eos_token_id: 2
+[2024-06-02 04:13:33] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/tokenizer.model. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/tokenizer.model
+[2024-06-02 04:13:33] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/tokenizer.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/tokenizer.json
+[2024-06-02 04:13:33] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/vocab.json
+[2024-06-02 04:13:33] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/merges.txt
+[2024-06-02 04:13:33] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/added_tokens.json
+[2024-06-02 04:13:33] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/tokenizer_config.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/tokenizer_config.json
+[2024-06-02 04:13:33] INFO gen_config.py:215: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': False, 'strip_space_in_decode': True}
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting pad_token_id: 0
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting temperature: 1.0
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting presence_penalty: 0.0
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting frequency_penalty: 0.0
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting repetition_penalty: 1.0
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting top_p: 1.0
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting mean_gen_len: 128
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting max_gen_len: 512
+[2024-06-02 04:13:33] INFO gen_config.py:31: [System default] Setting shift_fill_factor: 0.3
+[2024-06-02 04:13:33] INFO gen_config.py:222: Dumping configuration file to: /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC/mlc-chat-config.json
+/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3 --quantization q4f16_1 --output /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+[2024-06-02 04:13:34] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/config.json
+[2024-06-02 04:13:35] INFO auto_device.py:79: Found device: cuda:0
+[2024-06-02 04:13:35] INFO auto_device.py:79: Found device: cuda:1
+[2024-06-02 04:13:36] INFO auto_device.py:88: Not found device: rocm:0
+[2024-06-02 04:13:37] INFO auto_device.py:88: Not found device: metal:0
+[2024-06-02 04:13:38] INFO auto_device.py:79: Found device: vulkan:0
+[2024-06-02 04:13:38] INFO auto_device.py:79: Found device: vulkan:1
+[2024-06-02 04:13:38] INFO auto_device.py:79: Found device: vulkan:2
+[2024-06-02 04:13:39] INFO auto_device.py:88: Not found device: opencl:0
+[2024-06-02 04:13:39] INFO auto_device.py:35: Using device: cuda:0
+[2024-06-02 04:13:39] INFO auto_weight.py:70: Finding weights in: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3
+[2024-06-02 04:13:39] INFO auto_weight.py:136: Not found Huggingface PyTorch
+[2024-06-02 04:13:39] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/model.safetensors.index.json
+[2024-06-02 04:13:39] INFO auto_weight.py:106: Using source weight configuration: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/model.safetensors.index.json. Use `--source` to override.
+[2024-06-02 04:13:39] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
+[2024-06-02 04:13:39] INFO auto_config.py:153: Found model type: mistral. Use `--model-type` to override.
+[2024-06-02 04:13:39] INFO mistral_model.py:56: prefill_chunk_size defaults to 2048
+Weight conversion with arguments:
+  --config          /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/config.json
+  --quantization    GroupQuantize(name='q4f16_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float16', 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)
+  --model-type      mistral
+  --device          cuda:0
+  --source          /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/model.safetensors.index.json
+  --source-format   huggingface-safetensor
+  --output          /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
+Start storing to cache /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
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[2024-06-02 04:13:43] INFO huggingface_loader.py:184: Loading HF parameters from: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/model-00003-of-00003.safetensors
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+[2024-06-02 04:14:35] INFO huggingface_loader.py:196: Unloading HF weight file: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/model-00002-of-00003.safetensors
+[2024-06-02 04:14:35] INFO stats.py:76: Time usage: HF loading: 3.920 sec; Pre-quantization mapping: 27.399 sec; Quantization: 2.817 sec
+[2024-06-02 04:14:35] INFO stats.py:90: RAM usage: Peak RAM: 9.313 GB. Total bytes loaded from disk: 27.001 GB
+[2024-06-02 04:14:35] INFO convert_weight.py:155: Parameter size after quantization: 3.797 GB
+[2024-06-02 04:14:35] INFO convert_weight.py:160: Total parameters: 7,248,023,552
+[2024-06-02 04:14:35] INFO convert_weight.py:161: Bits per parameter: 4.500
+[2024-06-02 04:14:35] INFO convert_weight.py:166: Saved to directory: /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f16_1-MLC
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