/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-0.5B-Instruct --quantization q0f32 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC [2024-06-06 23:38:30] INFO auto_config.py:116: Found model configuration: /models/Qwen2-0.5B-Instruct/config.json [2024-06-06 23:38:30] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override. [2024-06-06 23:38:30] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768) [2024-06-06 23:38:30] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048 [2024-06-06 23:38:30] INFO config.py:107: Overriding max_batch_size from 1 to 80 [2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643 [2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643 [2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643] [2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1 [2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting temperature: 0.7 [2024-06-06 23:38:30] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8 [2024-06-06 23:38:30] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.model [2024-06-06 23:38:30] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/tokenizer.json [2024-06-06 23:38:30] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/vocab.json [2024-06-06 23:38:30] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/merges.txt [2024-06-06 23:38:30] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen2-0.5B-Instruct/added_tokens.json [2024-06-06 23:38:30] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/tokenizer_config.json [2024-06-06 23:38:30] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} [2024-06-06 23:38:30] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0 [2024-06-06 23:38:30] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0 [2024-06-06 23:38:30] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/mlc-chat-config.json /opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-0.5B-Instruct --quantization q0f32 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC [2024-06-06 23:38:32] INFO auto_config.py:116: Found model configuration: /models/Qwen2-0.5B-Instruct/config.json [2024-06-06 23:38:33] INFO auto_device.py:79: Found device: cuda:0 [2024-06-06 23:38:35] INFO auto_device.py:88: Not found device: rocm:0 [2024-06-06 23:38:36] INFO auto_device.py:88: Not found device: metal:0 [2024-06-06 23:38:38] INFO auto_device.py:79: Found device: vulkan:0 [2024-06-06 23:38:38] INFO auto_device.py:79: Found device: vulkan:1 [2024-06-06 23:38:38] INFO auto_device.py:79: Found device: vulkan:2 [2024-06-06 23:38:38] INFO auto_device.py:79: Found device: vulkan:3 [2024-06-06 23:38:39] INFO auto_device.py:88: Not found device: opencl:0 [2024-06-06 23:38:39] INFO auto_device.py:35: Using device: cuda:0 [2024-06-06 23:38:39] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-0.5B-Instruct [2024-06-06 23:38:39] INFO auto_weight.py:137: Not found Huggingface PyTorch [2024-06-06 23:38:39] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-0.5B-Instruct/model.safetensors.index.json [2024-06-06 23:38:39] INFO auto_weight.py:107: Using source weight configuration: /models/Qwen2-0.5B-Instruct/model.safetensors.index.json. Use `--source` to override. [2024-06-06 23:38:39] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override. [2024-06-06 23:38:39] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override. [2024-06-06 23:38:39] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768) [2024-06-06 23:38:39] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048 Traceback (most recent call last): File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 86, in _run_code exec(code, run_globals) File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 64, in main() File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 37, in main cli.main(sys.argv[2:]) File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/cli/convert_weight.py", line 88, in main convert_weight( File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 181, in convert_weight _convert_args(args) File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 145, in _convert_args tvmjs.dump_ndarray_cache( File "/opt/conda/envs/py310/lib/python3.10/site-packages/tvm/contrib/tvmjs.py", line 272, in dump_ndarray_cache for k, origin_v in param_generator: File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 122, in _param_generator loader = LOADER[args.source_format]( File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/huggingface_loader.py", line 99, in __init__ check_parameter_usage(extern_param_map, set(self.torch_to_path.keys())) File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/utils.py", line 33, in check_parameter_usage raise ValueError( ValueError: The following extern parameters do not exist in the weight files: lm_head.weight Weight conversion with arguments: --config /models/Qwen2-0.5B-Instruct/config.json --quantization NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32') --model-type qwen2 --device cuda:0 --source /models/Qwen2-0.5B-Instruct/model.safetensors.index.json --source-format huggingface-safetensor --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC /home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f32 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC [2024-06-06 22:32:41] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json [2024-06-06 22:32:41] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override. [2024-06-06 22:32:41] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768) [2024-06-06 22:32:41] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048 [2024-06-06 22:32:41] INFO config.py:107: Overriding max_batch_size from 1 to 80 [2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643 [2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643 [2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643] [2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1 [2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting temperature: 0.7 [2024-06-06 22:32:41] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8 [2024-06-06 22:32:41] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model [2024-06-06 22:32:41] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/tokenizer.json [2024-06-06 22:32:41] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/vocab.json [2024-06-06 22:32:41] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/merges.txt [2024-06-06 22:32:41] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json [2024-06-06 22:32:41] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/tokenizer_config.json [2024-06-06 22:32:41] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} [2024-06-06 22:32:41] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0 [2024-06-06 22:32:41] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0 [2024-06-06 22:32:41] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/mlc-chat-config.json /home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f32 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC [2024-06-06 22:32:42] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json [2024-06-06 22:32:43] INFO auto_device.py:79: Found device: cuda:0 [2024-06-06 22:32:43] INFO auto_device.py:79: Found device: cuda:1 [2024-06-06 22:32:44] INFO auto_device.py:88: Not found device: rocm:0 [2024-06-06 22:32:45] INFO auto_device.py:88: Not found device: metal:0 [2024-06-06 22:32:47] INFO auto_device.py:79: Found device: vulkan:0 [2024-06-06 22:32:47] INFO auto_device.py:79: Found device: vulkan:1 [2024-06-06 22:32:47] INFO auto_device.py:79: Found device: vulkan:2 [2024-06-06 22:32:48] INFO auto_device.py:88: Not found device: opencl:0 [2024-06-06 22:32:48] INFO auto_device.py:35: Using device: cuda:0 [2024-06-06 22:32:48] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct [2024-06-06 22:32:48] INFO auto_weight.py:137: Not found Huggingface PyTorch [2024-06-06 22:32:48] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json [2024-06-06 22:32:48] INFO auto_weight.py:107: Using source weight configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json. Use `--source` to override. [2024-06-06 22:32:48] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override. [2024-06-06 22:32:48] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override. [2024-06-06 22:32:48] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768) [2024-06-06 22:32:48] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048 Weight conversion with arguments: --config /ssd2/models/Qwen2-0.5B-Instruct/config.json --quantization NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32') --model-type qwen2 --device cuda:0 --source /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json --source-format huggingface-safetensor --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC 0%| | 0/170 [00:00 type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) 1%| | 1/170 [00:05<15:51, 5.63s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (896,), dtype: float32 1%| | 1/170 [00:05<15:51, 5.63s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.down_proj.weight", shape: (896, 4864), dtype: float32 1%| | 1/170 [00:05<15:51, 5.63s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float32 1%| | 1/170 [00:05<15:51, 5.63s/it] 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (896,), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.bias", shape: (1152,), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.weight", shape: (1152, 896), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.o_proj.weight", shape: (896, 896), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (896,), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.down_proj.weight", shape: (896, 4864), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float32 2%|▏ | 4/170 [00:05<03:02, 1.10s/it] 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (896,), dtype: float32 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.bias", shape: (1152,), dtype: float32 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.weight", shape: (1152, 896), dtype: float32 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.o_proj.weight", shape: (896, 896), dtype: float32 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.input_layernorm.weight", shape: (896,), dtype: float32 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.down_proj.weight", shape: (896, 4864), dtype: float32 6%|▋ | 11/170 [00:05<00:49, 3.20it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float32 6%|▋ | 11/170 [00:06<00:49, 3.20it/s] 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (896,), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.bias", shape: (1152,), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.weight", shape: (1152, 896), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.o_proj.weight", shape: (896, 896), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (896,), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.mlp.down_proj.weight", shape: (896, 4864), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float32 11%|█ | 18/170 [00:06<00:25, 6.08it/s] 15%|█▍ | 25/170 [00:06<00:15, 9.63it/s] [2024-06-06 22:32:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.post_attention_layernorm.weight", shape: (896,), dtype: float32 15%|█▍ | 25/170 [00:06<00:15, 9.63it/s] [2024-06-06 22:32:55] INFO 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huggingface_loader.py:175: [Not quantized] Parameter: "model.norm.weight", shape: (896,), dtype: float32 96%|█████████▋| 164/170 [00:09<00:00, 46.19it/s] 100%|██████████| 170/170 [00:09<00:00, 18.32it/s] [2024-06-06 22:32:58] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors [2024-06-06 22:32:59] INFO stats.py:77: Time usage: HF loading: 3.282 sec; Pre-quantization mapping: 0.313 sec; Quantization: 0.000 sec [2024-06-06 22:32:59] INFO stats.py:91: RAM usage: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB [2024-06-06 22:32:59] INFO convert_weight.py:155: Parameter size after quantization: 1.840 GB [2024-06-06 22:32:59] INFO convert_weight.py:160: Total parameters: 494,032,768 [2024-06-06 22:32:59] INFO convert_weight.py:161: Bits per parameter: 32.000 [2024-06-06 22:32:59] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache.json Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache-b16.json /home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f32 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC [2024-06-06 22:35:15] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json [2024-06-06 22:35:15] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override. [2024-06-06 22:35:15] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768) [2024-06-06 22:35:15] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048 [2024-06-06 22:35:15] INFO config.py:107: Overriding max_batch_size from 1 to 80 [2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643 [2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643 [2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643] [2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1 [2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting temperature: 0.7 [2024-06-06 22:35:15] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8 [2024-06-06 22:35:15] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model [2024-06-06 22:35:15] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/tokenizer.json [2024-06-06 22:35:15] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/vocab.json [2024-06-06 22:35:15] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/merges.txt [2024-06-06 22:35:15] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json [2024-06-06 22:35:15] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/tokenizer_config.json [2024-06-06 22:35:15] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False} [2024-06-06 22:35:15] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0 [2024-06-06 22:35:15] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0 [2024-06-06 22:35:15] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/mlc-chat-config.json /home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f32 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC [2024-06-06 22:35:16] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json [2024-06-06 22:35:17] INFO auto_device.py:79: Found device: cuda:0 [2024-06-06 22:35:17] INFO auto_device.py:79: Found device: cuda:1 [2024-06-06 22:35:18] INFO auto_device.py:88: Not found device: rocm:0 [2024-06-06 22:35:19] INFO auto_device.py:88: Not found device: metal:0 [2024-06-06 22:35:20] INFO auto_device.py:79: Found device: vulkan:0 [2024-06-06 22:35:20] INFO auto_device.py:79: Found device: vulkan:1 [2024-06-06 22:35:20] INFO auto_device.py:79: Found device: vulkan:2 [2024-06-06 22:35:22] INFO auto_device.py:88: Not found device: opencl:0 [2024-06-06 22:35:22] INFO auto_device.py:35: Using device: cuda:0 [2024-06-06 22:35:22] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct [2024-06-06 22:35:22] INFO auto_weight.py:137: Not found Huggingface PyTorch [2024-06-06 22:35:22] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json [2024-06-06 22:35:22] INFO auto_weight.py:107: Using source weight configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json. Use `--source` to override. [2024-06-06 22:35:22] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override. [2024-06-06 22:35:22] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override. [2024-06-06 22:35:22] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768) [2024-06-06 22:35:22] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048 Weight conversion with arguments: --config /ssd2/models/Qwen2-0.5B-Instruct/config.json --quantization NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32') --model-type qwen2 --device cuda:0 --source /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json --source-format huggingface-safetensor --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC 0%| | 0/170 [00:00 type is zero. setattr(self, word, getattr(machar, word).flat[0]) /home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for type is zero. return self._float_to_str(self.smallest_subnormal) 1%| | 1/170 [00:03<09:40, 3.43s/it] [2024-06-06 22:35:27] INFO huggingface_loader.py:175: [Not quantized] 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huggingface_loader.py:175: [Not quantized] Parameter: "model.norm.weight", shape: (896,), dtype: float32 96%|█████████▋| 164/170 [00:08<00:00, 31.97it/s] 100%|██████████| 170/170 [00:08<00:00, 19.72it/s] [2024-06-06 22:35:32] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors [2024-06-06 22:35:32] INFO stats.py:77: Time usage: HF loading: 1.497 sec; Pre-quantization mapping: 0.325 sec; Quantization: 0.000 sec [2024-06-06 22:35:32] INFO stats.py:91: RAM usage: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB [2024-06-06 22:35:32] INFO convert_weight.py:155: Parameter size after quantization: 1.840 GB [2024-06-06 22:35:32] INFO convert_weight.py:160: Total parameters: 494,032,768 [2024-06-06 22:35:32] INFO convert_weight.py:161: Bits per parameter: 32.000 [2024-06-06 22:35:32] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache.json Also saved a bf16 record to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f32-MLC/ndarray-cache-b16.json