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/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen1.5-0.5B-Chat --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
[2024-06-04 03:31:58] INFO auto_config.py:116: Found model configuration: /models/Qwen1.5-0.5B-Chat/config.json
[2024-06-04 03:31:58] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-04 03:31:58] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-04 03:31:58] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
[2024-06-04 03:31:58] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643
[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643
[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1
[2024-06-04 03:31:58] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8
[2024-06-04 03:31:58] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer.model
[2024-06-04 03:31:58] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/tokenizer.json
[2024-06-04 03:31:58] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-0.5B-Chat/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/vocab.json
[2024-06-04 03:31:58] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-0.5B-Chat/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/merges.txt
[2024-06-04 03:31:58] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen1.5-0.5B-Chat/added_tokens.json
[2024-06-04 03:31:58] INFO gen_config.py:155: Found tokenizer config: /models/Qwen1.5-0.5B-Chat/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/tokenizer_config.json
[2024-06-04 03:31:58] 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 03:31:58] INFO gen_config.py:32: [System default] Setting temperature: 1.0
[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128
[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting max_gen_len: 512
[2024-06-04 03:31:58] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3
[2024-06-04 03:31:58] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen1.5-0.5B-Chat --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
[2024-06-04 03:32:00] INFO auto_config.py:116: Found model configuration: /models/Qwen1.5-0.5B-Chat/config.json
[2024-06-04 03:32:01] INFO auto_device.py:79: Found device: cuda:0
[2024-06-04 03:32:03] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-04 03:32:04] INFO auto_device.py:88: Not found device: metal:0
[2024-06-04 03:32:06] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-04 03:32:06] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-04 03:32:06] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-04 03:32:06] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-04 03:32:07] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-04 03:32:07] INFO auto_device.py:35: Using device: cuda:0
[2024-06-04 03:32:07] INFO auto_weight.py:71: Finding weights in: /models/Qwen1.5-0.5B-Chat
[2024-06-04 03:32:07] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-04 03:32:07] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Qwen1.5-0.5B-Chat/model.safetensors.index.json
[2024-06-04 03:32:07] INFO auto_weight.py:107: Using source weight configuration: /models/Qwen1.5-0.5B-Chat/model.safetensors.index.json. Use `--source` to override.
[2024-06-04 03:32:07] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-04 03:32:07] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-04 03:32:07] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-04 03:32:07] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /models/Qwen1.5-0.5B-Chat/config.json
--quantization NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
--model-type qwen2
--device cuda:0
--source /models/Qwen1.5-0.5B-Chat/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
0%| | 0/171 [00:00<?, ?it/s] [2024-06-04 03:32:08] INFO huggingface_loader.py:185: Loading HF parameters from: /models/Qwen1.5-0.5B-Chat/model.safetensors
0%| | 0/171 [00:00<?, ?it/s] [2024-06-04 03:32:11] INFO huggingface_loader.py:175: [Not quantized] Parameter: "lm_head.weight", shape: (151936, 1024), dtype: float16
0%| | 0/171 [00:03<?, ?it/s] 1%| | 1/171 [00:04<12:17, 4.34s/it] [2024-06-04 03:32:13] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.embed_tokens.weight", shape: (151936, 1024), dtype: float16
1%| | 1/171 [00:05<12:17, 4.34s/it] 1%| | 2/171 [00:06<08:12, 2.92s/it] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (1024,), dtype: float16
1%| | 2/171 [00:06<08:12, 2.92s/it] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.down_proj.weight", shape: (1024, 2816), dtype: float16
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1%| | 2/171 [00:06<08:12, 2.92s/it] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (1024,), dtype: float16
1%| | 2/171 [00:06<08:12, 2.92s/it] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.bias", shape: (3072,), dtype: float16
1%| | 2/171 [00:06<08:12, 2.92s/it] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.weight", shape: (3072, 1024), dtype: float16
1%| | 2/171 [00:06<08:12, 2.92s/it] 5%|▍ | 8/171 [00:06<01:21, 2.01it/s] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.o_proj.weight", shape: (1024, 1024), dtype: float16
5%|▍ | 8/171 [00:06<01:21, 2.01it/s] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (1024,), dtype: float16
5%|▍ | 8/171 [00:06<01:21, 2.01it/s] [2024-06-04 03:32:14] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.down_proj.weight", shape: (1024, 2816), dtype: float16
5%|▍ | 8/171 [00:06<01:21, 2.01it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.gate_up_proj.weight", shape: (5632, 1024), dtype: float16
5%|▍ | 8/171 [00:06<01:21, 2.01it/s] 7%|▋ | 12/171 [00:06<00:46, 3.45it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (1024,), dtype: float16
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7%|▋ | 12/171 [00:06<00:46, 3.45it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.weight", shape: (3072, 1024), dtype: float16
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7%|▋ | 12/171 [00:06<00:46, 3.45it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.input_layernorm.weight", shape: (1024,), dtype: float16
7%|▋ | 12/171 [00:06<00:46, 3.45it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.down_proj.weight", shape: (1024, 2816), dtype: float16
7%|▋ | 12/171 [00:06<00:46, 3.45it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.gate_up_proj.weight", shape: (5632, 1024), dtype: float16
7%|▋ | 12/171 [00:06<00:46, 3.45it/s] 11%|█ | 19/171 [00:06<00:22, 6.84it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (1024,), dtype: float16
11%|█ | 19/171 [00:06<00:22, 6.84it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.bias", shape: (3072,), dtype: float16
11%|█ | 19/171 [00:06<00:22, 6.84it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.weight", shape: (3072, 1024), dtype: float16
11%|█ | 19/171 [00:06<00:22, 6.84it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.o_proj.weight", shape: (1024, 1024), dtype: float16
11%|█ | 19/171 [00:06<00:22, 6.84it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (1024,), dtype: float16
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11%|█ | 19/171 [00:06<00:22, 6.84it/s] 15%|█▌ | 26/171 [00:06<00:13, 11.08it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.post_attention_layernorm.weight", shape: (1024,), dtype: float16
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15%|█▌ | 26/171 [00:06<00:13, 11.08it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.input_layernorm.weight", shape: (1024,), dtype: float16
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23%|██▎ | 40/171 [00:06<00:05, 21.87it/s] 27%|██▋ | 47/171 [00:07<00:04, 28.01it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.post_attention_layernorm.weight", shape: (1024,), dtype: float16
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27%|██▋ | 47/171 [00:07<00:04, 28.01it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.input_layernorm.weight", shape: (1024,), dtype: float16
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27%|██▋ | 47/171 [00:07<00:04, 28.01it/s] 32%|███▏ | 54/171 [00:07<00:03, 34.16it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.post_attention_layernorm.weight", shape: (1024,), dtype: float16
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32%|███▏ | 54/171 [00:07<00:03, 34.16it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.c_attn.weight", shape: (3072, 1024), dtype: float16
32%|███▏ | 54/171 [00:07<00:03, 34.16it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.o_proj.weight", shape: (1024, 1024), dtype: float16
32%|███▏ | 54/171 [00:07<00:03, 34.16it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.input_layernorm.weight", shape: (1024,), dtype: float16
32%|███▏ | 54/171 [00:07<00:03, 34.16it/s] [2024-06-04 03:32:15] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.mlp.down_proj.weight", shape: (1024, 2816), dtype: float16
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[2024-06-04 03:32:17] INFO huggingface_loader.py:197: Unloading HF weight file: /models/Qwen1.5-0.5B-Chat/model.safetensors
[2024-06-04 03:32:17] INFO stats.py:77: Time usage: HF loading: 2.308 sec; Pre-quantization mapping: 2.992 sec; Quantization: 0.000 sec
[2024-06-04 03:32:17] INFO stats.py:91: RAM usage: Peak RAM: 2.308 GB. Total bytes loaded from disk: 2.308 GB
[2024-06-04 03:32:17] INFO convert_weight.py:155: Parameter size after quantization: 1.154 GB
[2024-06-04 03:32:17] INFO convert_weight.py:160: Total parameters: 619,570,176
[2024-06-04 03:32:17] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-04 03:32:17] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC
All finished, 26 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen1.5-0.5B-Chat-q0f16-MLC/ndarray-cache.json