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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Mixtral-8x7B-Instruct-v0.1 --quantization q4f16_1 --conv-template mistral_default --output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC
[2024-06-06 22:07:13] INFO auto_config.py:116: Found model configuration: /models/Mixtral-8x7B-Instruct-v0.1/config.json
[2024-06-06 22:07:13] INFO auto_config.py:154: Found model type: mixtral. Use `--model-type` to override.
[2024-06-06 22:07:13] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 22:07:13] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
[2024-06-06 22:07:13] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-06 22:07:13] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 1
[2024-06-06 22:07:13] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: 2
[2024-06-06 22:07:13] INFO gen_config.py:155: Found tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer.model. Copying to /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC/tokenizer.model
[2024-06-06 22:07:13] INFO gen_config.py:155: Found tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC/tokenizer.json
[2024-06-06 22:07:13] INFO gen_config.py:157: Not found tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/vocab.json
[2024-06-06 22:07:13] INFO gen_config.py:157: Not found tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/merges.txt
[2024-06-06 22:07:13] INFO gen_config.py:157: Not found tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/added_tokens.json
[2024-06-06 22:07:13] INFO gen_config.py:155: Found tokenizer config: /models/Mixtral-8x7B-Instruct-v0.1/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC/tokenizer_config.json
[2024-06-06 22:07:13] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True}
[2024-06-06 22:07:13] INFO gen_config.py:32: [System default] Setting pad_token_id: 0
[2024-06-06 22:07:13] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-06 22:07:13] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-06 22:07:13] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-06 22:07:13] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
[2024-06-06 22:07:13] INFO gen_config.py:32: [System default] Setting top_p: 1.0
[2024-06-06 22:07:13] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Mixtral-8x7B-Instruct-v0.1 --quantization q4f16_1 --output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC
[2024-06-06 22:07:15] INFO auto_config.py:116: Found model configuration: /models/Mixtral-8x7B-Instruct-v0.1/config.json
[2024-06-06 22:07:16] INFO auto_device.py:79: Found device: cuda:0
[2024-06-06 22:07:18] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-06 22:07:19] INFO auto_device.py:88: Not found device: metal:0
[2024-06-06 22:07:21] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-06 22:07:21] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-06 22:07:21] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-06 22:07:21] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-06 22:07:22] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-06 22:07:22] INFO auto_device.py:35: Using device: cuda:0
[2024-06-06 22:07:22] INFO auto_weight.py:71: Finding weights in: /models/Mixtral-8x7B-Instruct-v0.1
[2024-06-06 22:07:22] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-06 22:07:22] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json
[2024-06-06 22:07:22] INFO auto_weight.py:107: Using source weight configuration: /models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json. Use `--source` to override.
[2024-06-06 22:07:22] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-06 22:07:22] INFO auto_config.py:154: Found model type: mixtral. Use `--model-type` to override.
[2024-06-06 22:07:22] INFO llama_model.py:52: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 22:07:22] INFO llama_model.py:72: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /models/Mixtral-8x7B-Instruct-v0.1/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 mixtral
--device cuda:0
--source /models/Mixtral-8x7B-Instruct-v0.1/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC
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[2024-06-06 22:17:12] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mixtral-8x7B-Instruct-v0.1/model-00004-of-00019.safetensors
[2024-06-06 22:17:13] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Mixtral-8x7B-Instruct-v0.1/model-00005-of-00019.safetensors
[2024-06-06 22:17:13] INFO stats.py:77: Time usage: HF loading: 125.315 sec; Pre-quantization mapping: 286.394 sec; Quantization: 4.263 sec
[2024-06-06 22:17:13] INFO stats.py:91: RAM usage: Peak RAM: 18.563 GB. Total bytes loaded from disk: 210.951 GB
[2024-06-06 22:17:13] INFO convert_weight.py:155: Parameter size after quantization: 24.468 GB
[2024-06-06 22:17:13] INFO convert_weight.py:160: Total parameters: 56,626,802,688
[2024-06-06 22:17:13] INFO convert_weight.py:161: Bits per parameter: 3.712
[2024-06-06 22:17:13] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC
All finished, 162 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Mixtral-8x7B-Instruct-v0.1-q4f16_1-MLC/ndarray-cache.json