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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Meta-Llama-3-8B-Instruct --quantization q4f32_1 --conv-template llama-3 --output /models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC
[2024-06-04 03:10:23] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Meta-Llama-3-8B-Instruct/config.json
[2024-06-04 03:10:23] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
[2024-06-04 03:10:23] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192)
[2024-06-04 03:10:23] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048
[2024-06-04 03:10:23] INFO config.py:107: Overriding [1mmax_batch_size[0m from 1 to 80
[2024-06-04 03:10:23] INFO gen_config.py:143: [generation_config.json] Setting [1mbos_token_id[0m: 128000
[2024-06-04 03:10:23] INFO gen_config.py:143: [generation_config.json] Setting [1meos_token_id[0m: [128001, 128009]
[2024-06-04 03:10:23] INFO gen_config.py:143: [generation_config.json] Setting [1mtemperature[0m: 0.6
[2024-06-04 03:10:23] INFO gen_config.py:143: [generation_config.json] Setting [1mtop_p[0m: 0.9
[2024-06-04 03:10:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Meta-Llama-3-8B-Instruct/tokenizer.model
[2024-06-04 03:10:23] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Meta-Llama-3-8B-Instruct/tokenizer.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC/tokenizer.json[0m
[2024-06-04 03:10:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Meta-Llama-3-8B-Instruct/vocab.json
[2024-06-04 03:10:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Meta-Llama-3-8B-Instruct/merges.txt
[2024-06-04 03:10:23] INFO gen_config.py:157: [91mNot found[0m tokenizer config: /models/Meta-Llama-3-8B-Instruct/added_tokens.json
[2024-06-04 03:10:23] INFO gen_config.py:155: [92mFound[0m tokenizer config: /models/Meta-Llama-3-8B-Instruct/tokenizer_config.json. Copying to [1m/models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC/tokenizer_config.json[0m
[2024-06-04 03:10:23] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mpad_token_id[0m: 0
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mpresence_penalty[0m: 0.0
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mfrequency_penalty[0m: 0.0
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mrepetition_penalty[0m: 1.0
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mmean_gen_len[0m: 128
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mmax_gen_len[0m: 512
[2024-06-04 03:10:23] INFO gen_config.py:32: [System default] Setting [1mshift_fill_factor[0m: 0.3
[2024-06-04 03:10:23] INFO gen_config.py:223: Dumping configuration file to: [1m/models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC/mlc-chat-config.json[0m
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Meta-Llama-3-8B-Instruct --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC
[2024-06-04 03:10:24] INFO auto_config.py:116: [92mFound[0m model configuration: /models/Meta-Llama-3-8B-Instruct/config.json
[2024-06-04 03:10:26] INFO auto_device.py:79: [92mFound[0m device: cuda:0
[2024-06-04 03:10:27] INFO auto_device.py:88: [91mNot found[0m device: rocm:0
[2024-06-04 03:10:29] INFO auto_device.py:88: [91mNot found[0m device: metal:0
[2024-06-04 03:10:30] INFO auto_device.py:79: [92mFound[0m device: vulkan:0
[2024-06-04 03:10:30] INFO auto_device.py:79: [92mFound[0m device: vulkan:1
[2024-06-04 03:10:30] INFO auto_device.py:79: [92mFound[0m device: vulkan:2
[2024-06-04 03:10:30] INFO auto_device.py:79: [92mFound[0m device: vulkan:3
[2024-06-04 03:10:32] INFO auto_device.py:88: [91mNot found[0m device: opencl:0
[2024-06-04 03:10:32] INFO auto_device.py:35: Using device: [1mcuda:0[0m
[2024-06-04 03:10:32] INFO auto_weight.py:71: Finding weights in: /models/Meta-Llama-3-8B-Instruct
[2024-06-04 03:10:32] INFO auto_weight.py:137: [91mNot found[0m Huggingface PyTorch
[2024-06-04 03:10:32] INFO auto_weight.py:144: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /models/Meta-Llama-3-8B-Instruct/model.safetensors.index.json
[2024-06-04 03:10:32] INFO auto_weight.py:107: Using source weight configuration: [1m/models/Meta-Llama-3-8B-Instruct/model.safetensors.index.json[0m. Use `--source` to override.
[2024-06-04 03:10:32] INFO auto_weight.py:111: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
[2024-06-04 03:10:32] INFO auto_config.py:154: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
[2024-06-04 03:10:32] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (8192)
[2024-06-04 03:10:32] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to 2048
[1mWeight conversion with arguments:[0m
[1m--config[0m /models/Meta-Llama-3-8B-Instruct/config.json
[1m--quantization[0m GroupQuantize(name='q4f32_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float32', 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)
[1m--model-type[0m llama
[1m--device[0m cuda:0
[1m--source[0m /models/Meta-Llama-3-8B-Instruct/model.safetensors.index.json
[1m--source-format[0m huggingface-safetensor
[1m--output[0m /models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC
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[2024-06-04 03:11:27] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Meta-Llama-3-8B-Instruct/model-00002-of-00004.safetensors
[2024-06-04 03:11:28] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Meta-Llama-3-8B-Instruct/model-00003-of-00004.safetensors
[2024-06-04 03:11:28] INFO stats.py:77: [92mTime usage[0m: HF loading: 15.651 sec; Pre-quantization mapping: 17.726 sec; Quantization: 3.229 sec
[2024-06-04 03:11:28] INFO stats.py:91: [92mRAM usage[0m: Peak RAM: 18.469 GB. Total bytes loaded from disk: 29.915 GB
[2024-06-04 03:11:28] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 4.675 GB
[2024-06-04 03:11:28] INFO convert_weight.py:160: [92mTotal parameters[0m: 8,030,261,248
[2024-06-04 03:11:28] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.001
[2024-06-04 03:11:28] INFO convert_weight.py:166: Saved to directory: [1m/models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC[0m
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Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Llama-3-8B-Instruct-q4f32_1-MLC/ndarray-cache-b16.json
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