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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Mistral-7B-Instruct-v0.3 --quantization q4f32_1 --conv-template mistral_default --output /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
[2024-06-02 06:23:28] INFO auto_config.py:116: Found model configuration: /models/Mistral-7B-Instruct-v0.3/config.json
[2024-06-02 06:23:28] INFO auto_config.py:154: Found model type: mistral. Use `--model-type` to override.
[2024-06-02 06:23:28] INFO mistral_model.py:56: prefill_chunk_size defaults to 2048
[2024-06-02 06:23:28] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-02 06:23:28] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 1
[2024-06-02 06:23:28] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: 2
[2024-06-02 06:23:28] 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-q4f32_1-MLC/tokenizer.model
[2024-06-02 06:23:28] 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-q4f32_1-MLC/tokenizer.json
[2024-06-02 06:23:28] INFO gen_config.py:157: Not found tokenizer config: /models/Mistral-7B-Instruct-v0.3/vocab.json
[2024-06-02 06:23:28] INFO gen_config.py:157: Not found tokenizer config: /models/Mistral-7B-Instruct-v0.3/merges.txt
[2024-06-02 06:23:28] INFO gen_config.py:157: Not found tokenizer config: /models/Mistral-7B-Instruct-v0.3/added_tokens.json
[2024-06-02 06:23:28] 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-q4f32_1-MLC/tokenizer_config.json
[2024-06-02 06:23:28] 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 06:23:28] INFO gen_config.py:32: [System default] Setting pad_token_id: 0
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting top_p: 1.0
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting max_gen_len: 512
[2024-06-02 06:23:28] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3
[2024-06-02 06:23:28] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Mistral-7B-Instruct-v0.3 --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
[2024-06-02 06:23:29] INFO auto_config.py:116: Found model configuration: /models/Mistral-7B-Instruct-v0.3/config.json
[2024-06-02 06:23:31] INFO auto_device.py:79: Found device: cuda:0
[2024-06-02 06:23:32] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-02 06:23:34] INFO auto_device.py:88: Not found device: metal:0
[2024-06-02 06:23:35] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-02 06:23:35] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-02 06:23:35] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-02 06:23:35] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-02 06:23:37] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-02 06:23:37] INFO auto_device.py:35: Using device: cuda:0
[2024-06-02 06:23:37] INFO auto_weight.py:71: Finding weights in: /models/Mistral-7B-Instruct-v0.3
[2024-06-02 06:23:37] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-02 06:23:37] 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 06:23:37] 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 06:23:37] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-02 06:23:37] INFO auto_config.py:154: Found model type: mistral. Use `--model-type` to override.
[2024-06-02 06:23:37] 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='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)
--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-q4f32_1-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
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[2024-06-02 06:24:21] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mistral-7B-Instruct-v0.3/model-00002-of-00003.safetensors
[2024-06-02 06:24:22] INFO stats.py:77: Time usage: HF loading: 15.514 sec; Pre-quantization mapping: 10.946 sec; Quantization: 3.147 sec
[2024-06-02 06:24:22] INFO stats.py:91: RAM usage: Peak RAM: 9.313 GB. Total bytes loaded from disk: 27.001 GB
[2024-06-02 06:24:22] INFO convert_weight.py:155: Parameter size after quantization: 4.220 GB
[2024-06-02 06:24:22] INFO convert_weight.py:160: Total parameters: 7,248,023,552
[2024-06-02 06:24:22] INFO convert_weight.py:161: Bits per parameter: 5.001
[2024-06-02 06:24:22] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
All finished, 106 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC/ndarray-cache.json
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC/ndarray-cache-b16.json
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3 --quantization q4f32_1 --conv-template mistral_default --output /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
[2024-06-02 04:15:22] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/config.json
[2024-06-02 04:15:22] INFO auto_config.py:153: Found model type: mistral. Use `--model-type` to override.
[2024-06-02 04:15:22] INFO mistral_model.py:56: prefill_chunk_size defaults to 2048
[2024-06-02 04:15:22] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-06-02 04:15:22] INFO gen_config.py:142: [generation_config.json] Setting bos_token_id: 1
[2024-06-02 04:15:22] INFO gen_config.py:142: [generation_config.json] Setting eos_token_id: 2
[2024-06-02 04:15:22] 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-q4f32_1-MLC/tokenizer.model
[2024-06-02 04:15:22] 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-q4f32_1-MLC/tokenizer.json
[2024-06-02 04:15:22] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/vocab.json
[2024-06-02 04:15:22] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/merges.txt
[2024-06-02 04:15:22] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/added_tokens.json
[2024-06-02 04:15:22] 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-q4f32_1-MLC/tokenizer_config.json
[2024-06-02 04:15:22] 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 04:15:22] INFO gen_config.py:31: [System default] Setting pad_token_id: 0
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting temperature: 1.0
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting presence_penalty: 0.0
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting frequency_penalty: 0.0
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting repetition_penalty: 1.0
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting top_p: 1.0
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting mean_gen_len: 128
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting max_gen_len: 512
[2024-06-02 04:15:22] INFO gen_config.py:31: [System default] Setting shift_fill_factor: 0.3
[2024-06-02 04:15:22] INFO gen_config.py:222: Dumping configuration file to: /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_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 q4f32_1 --output /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
[2024-06-02 04:15:24] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3/config.json
[2024-06-02 04:15:25] INFO auto_device.py:79: Found device: cuda:0
[2024-06-02 04:15:25] INFO auto_device.py:79: Found device: cuda:1
[2024-06-02 04:15:26] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-02 04:15:27] INFO auto_device.py:88: Not found device: metal:0
[2024-06-02 04:15:28] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-02 04:15:28] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-02 04:15:28] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-02 04:15:29] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-02 04:15:29] INFO auto_device.py:35: Using device: cuda:0
[2024-06-02 04:15:29] INFO auto_weight.py:70: Finding weights in: /ssd1/rickzhou/models/Mistral-7B-Instruct-v0.3
[2024-06-02 04:15:29] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-06-02 04:15:29] 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 04:15:29] 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 04:15:29] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-02 04:15:29] INFO auto_config.py:153: Found model type: mistral. Use `--model-type` to override.
[2024-06-02 04:15:29] 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='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)
--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-q4f32_1-MLC
Start storing to cache /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
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0%| | 0/195 [00:03<?, ?it/s]/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
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[2024-06-02 04:16:04] 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 04:16:04] INFO stats.py:76: Time usage: HF loading: 3.729 sec; Pre-quantization mapping: 5.336 sec; Quantization: 2.465 sec
[2024-06-02 04:16:04] INFO stats.py:90: RAM usage: Peak RAM: 9.313 GB. Total bytes loaded from disk: 27.001 GB
[2024-06-02 04:16:04] INFO convert_weight.py:155: Parameter size after quantization: 4.220 GB
[2024-06-02 04:16:04] INFO convert_weight.py:160: Total parameters: 7,248,023,552
[2024-06-02 04:16:04] INFO convert_weight.py:161: Bits per parameter: 5.001
[2024-06-02 04:16:04] INFO convert_weight.py:166: Saved to directory: /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC
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Also saved a bf16 record to /ssd2/models/mlc-delivery/hf/mlc-ai/Mistral-7B-Instruct-v0.3-q4f32_1-MLC/ndarray-cache-b16.json