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/Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_llm gen_config /Users/Shared/models/Meta-Llama-3.1-70B-Instruct --quantization q0f16 --conv-template llama-3_1 --output local_dir/Llama-3.1-70B-Instruct-q0f16-MLC [2024-07-23 17:43:51] INFO auto_config.py:116: [92mFound[0m model configuration: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/config.json [2024-07-23 17:43:51] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. [2024-07-23 17:43:51] INFO llama_model.py:62: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (131072) [2024-07-23 17:43:51] INFO llama_model.py:82: [1mprefill_chunk_size[0m defaults to 2048 [2024-07-23 17:43:51] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting [1mbos_token_id[0m: 128000 [2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting [1meos_token_id[0m: [128001, 128008, 128009] [2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting [1mtemperature[0m: 0.6 [2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting [1mtop_p[0m: 0.9 [2024-07-23 17:43:51] INFO gen_config.py:158: [91mNot found[0m tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/tokenizer.model [2024-07-23 17:43:51] INFO gen_config.py:156: [92mFound[0m tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/tokenizer.json. Copying to [1mlocal_dir/Llama-3.1-70B-Instruct-q0f16-MLC/tokenizer.json[0m [2024-07-23 17:43:51] INFO gen_config.py:158: [91mNot found[0m tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/vocab.json [2024-07-23 17:43:51] INFO gen_config.py:158: [91mNot found[0m tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/merges.txt [2024-07-23 17:43:51] INFO gen_config.py:158: [91mNot found[0m tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/added_tokens.json [2024-07-23 17:43:51] INFO gen_config.py:156: [92mFound[0m tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/tokenizer_config.json. Copying to [1mlocal_dir/Llama-3.1-70B-Instruct-q0f16-MLC/tokenizer_config.json[0m [2024-07-23 17:43:51] INFO gen_config.py:217: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} [2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting [1mpad_token_id[0m: 0 [2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting [1mrepetition_penalty[0m: 1.0 [2024-07-23 17:43:51] INFO gen_config.py:245: Dumping configuration file to: [1mlocal_dir/Llama-3.1-70B-Instruct-q0f16-MLC/mlc-chat-config.json[0m /Users/cfruan/miniconda3/envs/mlc-chat-venv/bin/python -m mlc_llm convert_weight /Users/Shared/models/Meta-Llama-3.1-70B-Instruct --quantization q0f16 --output local_dir/Llama-3.1-70B-Instruct-q0f16-MLC [2024-07-23 17:43:52] INFO auto_config.py:116: [92mFound[0m model configuration: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/config.json [2024-07-23 17:43:52] INFO auto_device.py:88: [91mNot found[0m device: cuda:0 [2024-07-23 17:43:53] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 [2024-07-23 17:43:54] INFO auto_device.py:79: [92mFound[0m device: metal:0 [2024-07-23 17:43:55] INFO auto_device.py:88: [91mNot found[0m device: vulkan:0 [2024-07-23 17:43:55] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 [2024-07-23 17:43:55] INFO auto_device.py:35: Using device: [1mmetal:0[0m [2024-07-23 17:43:55] INFO auto_weight.py:71: Finding weights in: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct [2024-07-23 17:43:55] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch [2024-07-23 17:43:55] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/model.safetensors.index.json [2024-07-23 17:43:55] INFO auto_weight.py:107: Using source weight configuration: [1m/Users/Shared/models/Meta-Llama-3.1-70B-Instruct/model.safetensors.index.json[0m. Use `--source` to override. [2024-07-23 17:43:55] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-07-23 17:43:55] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. [2024-07-23 17:43:55] INFO llama_model.py:62: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (131072) [2024-07-23 17:43:55] INFO llama_model.py:82: [1mprefill_chunk_size[0m defaults to 2048 [1mWeight conversion with arguments:[0m [1m--config[0m /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/config.json [1m--quantization[0m NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16') [1m--model-type[0m llama [1m--device[0m metal:0 [1m--source[0m /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m local_dir/Llama-3.1-70B-Instruct-q0f16-MLC Start storing to cache local_dir/Llama-3.1-70B-Instruct-q0f16-MLC 0%| | 0/483 [00:00<?, ?it/s] [2024-07-23 17:44:00] INFO huggingface_loader.py:185: Loading HF parameters from: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/model-00030-of-00030.safetensors 0%| | 0/483 [00:00<?, ?it/s] [2024-07-23 17:44:04] INFO huggingface_loader.py:175: [Not quantized] Parameter: "[1mlm_head.weight[0m", shape: (128256, 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Total bytes loaded from disk: 271.521 GB [2024-07-23 17:53:24] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 131.417 GB [2024-07-23 17:53:24] INFO convert_weight.py:160: [92mTotal parameters[0m: 72,885,788,672 [2024-07-23 17:53:24] INFO convert_weight.py:161: [92mBits per parameter[0m: 15.488 [2024-07-23 17:53:24] INFO convert_weight.py:166: Saved to directory: [1mlocal_dir/Llama-3.1-70B-Instruct-q0f16-MLC[0m All finished, 323 total shards committed, record saved to local_dir/Llama-3.1-70B-Instruct-q0f16-MLC/ndarray-cache.json |