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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-72B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC [2024-06-07 00:35:55] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-72B-Instruct/config.json [2024-06-07 00:35:55] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. [2024-06-07 00:35:55] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) [2024-06-07 00:35:55] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 [2024-06-07 00:35:55] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-06-07 00:35:55] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 151643 [2024-06-07 00:35:55] INFO gen_config.py:143: [generation_config.json] Setting [1mpad_token_id[0m: 151643 [2024-06-07 00:35:55] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [151645, 151643] [2024-06-07 00:35:55] INFO gen_config.py:143: [generation_config.json] Setting [1mrepetition_penalty[0m: 1.05 [2024-06-07 00:35:55] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.7 [2024-06-07 00:35:55] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.8 [2024-06-07 00:35:55] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-72B-Instruct/tokenizer.model [2024-06-07 00:35:55] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-72B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC/tokenizer.json[0m [2024-06-07 00:35:55] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-72B-Instruct/vocab.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC/vocab.json[0m [2024-06-07 00:35:55] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-72B-Instruct/merges.txt. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC/merges.txt[0m [2024-06-07 00:35:55] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Qwen2-72B-Instruct/added_tokens.json [2024-06-07 00:35:55] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Qwen2-72B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC/tokenizer_config.json[0m [2024-06-07 00:35:55] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} [2024-06-07 00:35:55] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-06-07 00:35:55] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-06-07 00:35:55] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC/mlc-chat-config.json[0m /opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-72B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC [2024-06-07 00:35:56] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Qwen2-72B-Instruct/config.json [2024-06-07 00:35:58] INFO auto_device.py:79: [92mFound[0m device: cuda:0 [2024-06-07 00:35:59] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 [2024-06-07 00:36:01] INFO auto_device.py:88: [91mNot found[0m device: metal:0 [2024-06-07 00:36:02] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 [2024-06-07 00:36:02] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 [2024-06-07 00:36:02] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 [2024-06-07 00:36:02] INFO auto_device.py:79: [92mFound[0m device: vulkan:3 [2024-06-07 00:36:04] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 [2024-06-07 00:36:04] INFO auto_device.py:35: Using device: [1mcuda:0[0m [2024-06-07 00:36:04] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-72B-Instruct [2024-06-07 00:36:04] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch [2024-06-07 00:36:04] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-72B-Instruct/model.safetensors.index.json [2024-06-07 00:36:04] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Qwen2-72B-Instruct/model.safetensors.index.json[0m. Use `--source` to override. [2024-06-07 00:36:04] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-06-07 00:36:04] INFO auto_config.py:154: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override. [2024-06-07 00:36:04] INFO qwen2_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768) [2024-06-07 00:36:04] INFO qwen2_model.py:66: [1mprefill_chunk_size[0m defaults to 2048 [1mWeight conversion with arguments:[0m [1m--config[0m /models/Qwen2-72B-Instruct/config.json [1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') [1m--model-type[0m qwen2 [1m--device[0m cuda:0 [1m--source[0m /models/Qwen2-72B-Instruct/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m /models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC 0%| | 0/563 [00:00<?, ?it/s] [2024-06-07 00:36:08] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Qwen2-72B-Instruct/model-00037-of-00037.safetensors 0%| | 0/563 [00:00<?, ?it/s] [2024-06-07 00:36:23] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mlm_head.weight[0m", shape: (152064, 8192), dtype: float16 0%| | 0/563 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usage[0m: Peak RAM: 14.883 GB. Total bytes loaded from disk: 293.177 GB [2024-06-07 00:57:06] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 135.426 GB [2024-06-07 00:57:06] INFO convert_weight.py:160: [92mTotal parameters[0m: 78,698,975,232 [2024-06-07 00:57:06] INFO convert_weight.py:161: [92mBits per parameter[0m: 14.782 [2024-06-07 00:57:06] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC[0m All finished, 323 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-72B-Instruct-q0f16-MLC/ndarray-cache.json |