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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen1.5-1.8B-Chat --quantization q4f32_1 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
[2024-06-04 03:32:45] INFO auto_config.py:116: Found model configuration: /models/Qwen1.5-1.8B-Chat/config.json
[2024-06-04 03:32:45] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-04 03:32:45] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-04 03:32:45] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
[2024-06-04 03:32:45] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-04 03:32:45] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643
[2024-06-04 03:32:45] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643
[2024-06-04 03:32:45] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-06-04 03:32:45] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1
[2024-06-04 03:32:45] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8
[2024-06-04 03:32:45] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer.model
[2024-06-04 03:32:45] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/tokenizer.json
[2024-06-04 03:32:45] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/vocab.json
[2024-06-04 03:32:45] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/merges.txt
[2024-06-04 03:32:45] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen1.5-1.8B-Chat/added_tokens.json
[2024-06-04 03:32:45] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-1.8B-Chat/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/tokenizer_config.json
[2024-06-04 03:32:46] 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 03:32:46] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-04 03:32:46] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-04 03:32:46] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-04 03:32:46] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128
[2024-06-04 03:32:46] INFO gen_config.py:32: [System default] Setting max_gen_len: 512
[2024-06-04 03:32:46] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3
[2024-06-04 03:32:46] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen1.5-1.8B-Chat --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
[2024-06-04 03:32:47] INFO auto_config.py:116: Found model configuration: /models/Qwen1.5-1.8B-Chat/config.json
[2024-06-04 03:32:48] INFO auto_device.py:79: Found device: cuda:0
[2024-06-04 03:32:50] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-04 03:32:51] INFO auto_device.py:88: Not found device: metal:0
[2024-06-04 03:32:53] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-04 03:32:53] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-04 03:32:53] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-04 03:32:53] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-04 03:32:54] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-04 03:32:54] INFO auto_device.py:35: Using device: cuda:0
[2024-06-04 03:32:54] INFO auto_weight.py:71: Finding weights in: /models/Qwen1.5-1.8B-Chat
[2024-06-04 03:32:54] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-04 03:32:54] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json
[2024-06-04 03:32:54] INFO auto_weight.py:107: Using source weight configuration: /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json. Use `--source` to override.
[2024-06-04 03:32:54] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-04 03:32:54] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-04 03:32:54] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-04 03:32:54] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
  --config          /models/Qwen1.5-1.8B-Chat/config.json
  --quantization    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)
  --model-type      qwen2
  --device          cuda:0
  --source          /models/Qwen1.5-1.8B-Chat/model.safetensors.index.json
  --source-format   huggingface-safetensor
  --output          /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC

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[2024-06-04 03:33:09] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen1.5-1.8B-Chat/model.safetensors
[2024-06-04 03:33:09] INFO stats.py:77: Time usage: HF loading: 4.409 sec; Pre-quantization mapping: 3.044 sec; Quantization: 2.600 sec
[2024-06-04 03:33:09] INFO stats.py:91: RAM usage: Peak RAM: 6.843 GB. Total bytes loaded from disk: 6.843 GB
[2024-06-04 03:33:10] INFO convert_weight.py:155: Parameter size after quantization: 1.070 GB
[2024-06-04 03:33:10] INFO convert_weight.py:160: Total parameters: 1,836,828,672
[2024-06-04 03:33:10] INFO convert_weight.py:161: Bits per parameter: 5.004
[2024-06-04 03:33:10] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC

All finished, 28 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/ndarray-cache.json
Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-1.8B-Chat-q4f32_1-MLC/ndarray-cache-b16.json