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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Mixtral-8x7B-Instruct-v0.1 --quantization q0f16 --conv-template mistral_default --output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC |
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[2024-06-06 22:24:15] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 1 |
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[2024-06-06 22:24:15] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer.model. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/tokenizer.model[0m |
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[2024-06-06 22:24:15] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/tokenizer.json[0m |
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[2024-06-06 22:24:15] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/tokenizer_config.json[0m |
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[2024-06-06 22:24:15] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True} |
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[2024-06-06 22:24:15] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 |
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/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Mixtral-8x7B-Instruct-v0.1 --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC |
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[2024-06-06 22:24:24] INFO auto_device.py:35: Using device: [1mcuda:0[0m |
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[2024-06-06 22:24:24] INFO auto_weight.py:71: Finding weights in: /models/Mixtral-8x7B-Instruct-v0.1 |
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[2024-06-06 22:24:24] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch |
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[2024-06-06 22:24:24] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json |
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[2024-06-06 22:24:24] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json[0m. Use `--source` to override. |
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[2024-06-06 22:24:24] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. |
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[2024-06-06 22:24:24] INFO auto_config.py:154: [92mFound[0m model type: [1mmixtral[0m. Use `--model-type` to override. |
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[2024-06-06 22:24:24] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) |
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[2024-06-06 22:24:24] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048 |
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[1mWeight conversion with arguments:[0m |
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[1m--config[0m /models/Mixtral-8x7B-Instruct-v0.1/config.json |
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[1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') |
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[1m--model-type[0m mixtral |
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[1m--device[0m cuda:0 |
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[2024-06-06 22:39:06] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mixtral-8x7B-Instruct-v0.1/model-00004-of-00019.safetensors |
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[2024-06-06 22:39:06] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mixtral-8x7B-Instruct-v0.1/model-00005-of-00019.safetensors |
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[2024-06-06 22:39:07] INFO stats.py:77: [92mTime usage[0m: HF loading: 108.338 sec; Pre-quantization mapping: 421.469 sec; Quantization: 0.000 sec |
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[2024-06-06 22:39:07] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 18.563 GB. Total bytes loaded from disk: 210.951 GB |
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[2024-06-06 22:39:07] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 86.991 GB |
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[2024-06-06 22:39:07] INFO convert_weight.py:160: [92mTotal parameters[0m: 56,626,802,688 |
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[2024-06-06 22:39:07] INFO convert_weight.py:161: [92mBits per parameter[0m: 13.196 |
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[2024-06-06 22:39:07] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC[0m |
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All finished, 131 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q0f16-MLC/ndarray-cache.json |
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