/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: Found model configuration: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/config.json
[2024-07-23 17:43:51] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-07-23 17:43:51] INFO llama_model.py:62: context_window_size not found in config.json. Falling back to max_position_embeddings (131072)
[2024-07-23 17:43:51] INFO llama_model.py:82: prefill_chunk_size defaults to 2048
[2024-07-23 17:43:51] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting bos_token_id: 128000
[2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting eos_token_id: [128001, 128008, 128009]
[2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting temperature: 0.6
[2024-07-23 17:43:51] INFO gen_config.py:144: [generation_config.json] Setting top_p: 0.9
[2024-07-23 17:43:51] INFO gen_config.py:158: Not found tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/tokenizer.model
[2024-07-23 17:43:51] INFO gen_config.py:156: Found tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/tokenizer.json. Copying to local_dir/Llama-3.1-70B-Instruct-q0f16-MLC/tokenizer.json
[2024-07-23 17:43:51] INFO gen_config.py:158: Not found tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/vocab.json
[2024-07-23 17:43:51] INFO gen_config.py:158: Not found tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/merges.txt
[2024-07-23 17:43:51] INFO gen_config.py:158: Not found 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: Found tokenizer config: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/tokenizer_config.json. Copying to local_dir/Llama-3.1-70B-Instruct-q0f16-MLC/tokenizer_config.json
[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 pad_token_id: 0
[2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-07-23 17:43:51] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0
[2024-07-23 17:43:51] INFO gen_config.py:245: Dumping configuration file to: local_dir/Llama-3.1-70B-Instruct-q0f16-MLC/mlc-chat-config.json
/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: Found model configuration: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/config.json
[2024-07-23 17:43:52] INFO auto_device.py:88: Not found device: cuda:0
[2024-07-23 17:43:53] INFO auto_device.py:88: Not found device: rocm:0
[2024-07-23 17:43:54] INFO auto_device.py:79: Found device: metal:0
[2024-07-23 17:43:55] INFO auto_device.py:88: Not found device: vulkan:0
[2024-07-23 17:43:55] INFO auto_device.py:88: Not found device: opencl:0
[2024-07-23 17:43:55] INFO auto_device.py:35: Using device: metal:0
[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: Not found Huggingface PyTorch
[2024-07-23 17:43:55] INFO auto_weight.py:144: Found 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: /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/model.safetensors.index.json. Use `--source` to override.
[2024-07-23 17:43:55] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-07-23 17:43:55] INFO auto_config.py:154: Found model type: llama. Use `--model-type` to override.
[2024-07-23 17:43:55] INFO llama_model.py:62: context_window_size not found in config.json. Falling back to max_position_embeddings (131072)
[2024-07-23 17:43:55] INFO llama_model.py:82: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
  --config          /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/config.json
  --quantization    NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
  --model-type      llama
  --device          metal:0
  --source          /Users/Shared/models/Meta-Llama-3.1-70B-Instruct/model.safetensors.index.json
  --source-format   huggingface-safetensor
  --output          local_dir/Llama-3.1-70B-Instruct-q0f16-MLC
Start storing to cache local_dir/Llama-3.1-70B-Instruct-q0f16-MLC

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[2024-07-23 17:53:24] INFO stats.py:77: Time usage: HF loading: 82.243 sec; Pre-quantization mapping: 178.396 sec; Quantization: 0.000 sec
[2024-07-23 17:53:24] INFO stats.py:91: RAM usage: Peak RAM: 17.375 GB. Total bytes loaded from disk: 271.521 GB
[2024-07-23 17:53:24] INFO convert_weight.py:155: Parameter size after quantization: 131.417 GB
[2024-07-23 17:53:24] INFO convert_weight.py:160: Total parameters: 72,885,788,672
[2024-07-23 17:53:24] INFO convert_weight.py:161: Bits per parameter: 15.488
[2024-07-23 17:53:24] INFO convert_weight.py:166: Saved to directory: local_dir/Llama-3.1-70B-Instruct-q0f16-MLC

All finished, 323 total shards committed, record saved to local_dir/Llama-3.1-70B-Instruct-q0f16-MLC/ndarray-cache.json