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/usr/bin/python3 -m mlc_llm gen_config dist/models/Qwen1.5-0.5B-Chat --quantization q3f16_1 --conv-template chatml --output /tmp/tmpycunqk51 --context-window-size 32768
[2024-05-30 00:06:46] INFO auto_config.py:115: Found model configuration: dist/models/Qwen1.5-0.5B-Chat/config.json
[2024-05-30 00:06:46] INFO auto_config.py:153: Found model type: qwen2. Use `--model-type` to override.
[2024-05-30 00:06:46] INFO qwen2_model.py:48: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-05-30 00:06:46] INFO qwen2_model.py:65: prefill_chunk_size defaults to 2048
[2024-05-30 00:06:46] INFO config.py:106: Overriding context_window_size from 32768 to 32768
[2024-05-30 00:06:46] WARNING config.py:99: Warning: Cannot override max_batch_size, because QWen2Config does not have this field
[2024-05-30 00:06:46] INFO gen_config.py:255: [generation_config.json] Setting bos_token_id: 151643
[2024-05-30 00:06:46] INFO gen_config.py:255: [generation_config.json] Setting pad_token_id: 151643
[2024-05-30 00:06:46] INFO gen_config.py:255: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-05-30 00:06:46] INFO gen_config.py:255: [generation_config.json] Setting repetition_penalty: 1.1
[2024-05-30 00:06:46] INFO gen_config.py:255: [generation_config.json] Setting top_p: 0.8
[2024-05-30 00:06:46] INFO gen_config.py:269: Not found tokenizer config: dist/models/Qwen1.5-0.5B-Chat/tokenizer.model
[2024-05-30 00:06:46] INFO gen_config.py:267: Found tokenizer config: dist/models/Qwen1.5-0.5B-Chat/tokenizer.json. Copying to /tmp/tmpycunqk51/tokenizer.json
[2024-05-30 00:06:46] INFO gen_config.py:267: Found tokenizer config: dist/models/Qwen1.5-0.5B-Chat/vocab.json. Copying to /tmp/tmpycunqk51/vocab.json
[2024-05-30 00:06:46] INFO gen_config.py:267: Found tokenizer config: dist/models/Qwen1.5-0.5B-Chat/merges.txt. Copying to /tmp/tmpycunqk51/merges.txt
[2024-05-30 00:06:46] INFO gen_config.py:269: Not found tokenizer config: dist/models/Qwen1.5-0.5B-Chat/added_tokens.json
[2024-05-30 00:06:46] INFO gen_config.py:267: Found tokenizer config: dist/models/Qwen1.5-0.5B-Chat/tokenizer_config.json. Copying to /tmp/tmpycunqk51/tokenizer_config.json
[2024-05-30 00:06:46] INFO gen_config.py:80: [System default] Setting temperature: 0.7
[2024-05-30 00:06:46] INFO gen_config.py:80: [System default] Setting presence_penalty: 0.0
[2024-05-30 00:06:46] INFO gen_config.py:80: [System default] Setting frequency_penalty: 0.0
[2024-05-30 00:06:46] INFO gen_config.py:80: [System default] Setting mean_gen_len: 128
[2024-05-30 00:06:46] INFO gen_config.py:80: [System default] Setting max_gen_len: 512
[2024-05-30 00:06:46] INFO gen_config.py:80: [System default] Setting shift_fill_factor: 0.3
[2024-05-30 00:06:46] INFO gen_config.py:335: Dumping configuration file to: /tmp/tmpycunqk51/mlc-chat-config.json
/usr/bin/python3 -m mlc_llm convert_weight dist/models/Qwen1.5-0.5B-Chat --quantization q3f16_1 --source-format auto --output /tmp/tmpycunqk51
[2024-05-30 00:06:47] INFO auto_config.py:115: Found model configuration: dist/models/Qwen1.5-0.5B-Chat/config.json
[2024-05-30 00:06:49] INFO auto_device.py:79: Found device: cuda:0
[2024-05-30 00:06:51] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-30 00:06:52] INFO auto_device.py:88: Not found device: metal:0
[2024-05-30 00:06:52] INFO auto_device.py:88: Not found device: vulkan:0
[2024-05-30 00:06:53] INFO auto_device.py:88: Not found device: opencl:0
[2024-05-30 00:06:53] INFO auto_device.py:35: Using device: cuda:0
[2024-05-30 00:06:53] INFO auto_weight.py:70: Finding weights in: dist/models/Qwen1.5-0.5B-Chat
[2024-05-30 00:06:53] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-30 00:06:53] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: dist/models/Qwen1.5-0.5B-Chat/model.safetensors.index.json
[2024-05-30 00:06:53] INFO auto_weight.py:106: Using source weight configuration: dist/models/Qwen1.5-0.5B-Chat/model.safetensors.index.json. Use `--source` to override.
[2024-05-30 00:06:53] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-30 00:06:53] INFO auto_config.py:153: Found model type: qwen2. Use `--model-type` to override.
[2024-05-30 00:06:53] INFO qwen2_model.py:48: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-05-30 00:06:53] INFO qwen2_model.py:65: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config dist/models/Qwen1.5-0.5B-Chat/config.json
--quantization GroupQuantize(name='q3f16_1', kind='group-quant', group_size=40, quantize_dtype='int3', storage_dtype='uint32', model_dtype='float16', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=10, num_storage_per_group=4, max_int_value=3)
--model-type qwen2
--device cuda:0
--source dist/models/Qwen1.5-0.5B-Chat/model.safetensors.index.json
--source-format huggingface-safetensor
--output /tmp/tmpycunqk51
Start storing to cache /tmp/tmpycunqk51
0%| | 0/171 [00:00<?, ?it/s] [2024-05-30 00:06:56] INFO huggingface_loader.py:184: Loading HF parameters from: dist/models/Qwen1.5-0.5B-Chat/model.safetensors
0%| | 0/171 [00:00<?, ?it/s] [2024-05-30 00:06:58] INFO group_quantization.py:217: Compiling quantize function for key: ((151936, 1024), float16, cuda, axis=1, output_transpose=False)
0%| | 0/171 [00:02<?, ?it/s] [2024-05-30 00:06:59] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_weight", shape: (151936, 104), dtype: uint32
0%| | 0/171 [00:03<?, ?it/s] [2024-05-30 00:07:00] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_scale", shape: (151936, 26), dtype: float16
0%| | 0/171 [00:03<?, ?it/s] 1%| | 1/171 [00:03<10:28, 3.70s/it] [2024-05-30 00:07:00] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.embed_tokens.q_weight", shape: (151936, 104), dtype: uint32
1%| | 1/171 [00:04<10:28, 3.70s/it] [2024-05-30 00:07:01] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.embed_tokens.q_scale", shape: (151936, 26), dtype: float16
1%| | 1/171 [00:04<10:28, 3.70s/it] 1%| | 2/171 [00:04<05:59, 2.13s/it] [2024-05-30 00:07:01] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (1024,), dtype: float16
1%| | 2/171 [00:04<05:59, 2.13s/it] [2024-05-30 00:07:01] INFO group_quantization.py:217: Compiling quantize function for key: ((1024, 2816), float16, cuda, axis=1, output_transpose=False)
1%| | 2/171 [00:04<05:59, 2.13s/it] [2024-05-30 00:07:01] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.mlp.down_proj.q_weight", shape: (1024, 284), dtype: uint32
1%| | 2/171 [00:05<05:59, 2.13s/it] [2024-05-30 00:07:01] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.mlp.down_proj.q_scale", shape: (1024, 71), dtype: float16
1%| | 2/171 [00:05<05:59, 2.13s/it] 2%|▏ | 4/171 [00:05<02:35, 1.07it/s] [2024-05-30 00:07:01] INFO group_quantization.py:217: Compiling quantize function for key: ((5632, 1024), float16, cuda, axis=1, output_transpose=False)
2%|▏ | 4/171 [00:05<02:35, 1.07it/s] [2024-05-30 00:07:01] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.mlp.gate_up_proj.q_weight", shape: (5632, 104), dtype: uint32
2%|▏ | 4/171 [00:05<02:35, 1.07it/s] [2024-05-30 00:07:01] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.mlp.gate_up_proj.q_scale", shape: (5632, 26), dtype: float16
2%|▏ | 4/171 [00:05<02:35, 1.07it/s] 3%|▎ | 5/171 [00:05<02:10, 1.27it/s] [2024-05-30 00:07:01] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (1024,), dtype: float16
3%|▎ | 5/171 [00:05<02:10, 1.27it/s] [2024-05-30 00:07:01] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.bias", shape: (3072,), dtype: float16
3%|▎ | 5/171 [00:05<02:10, 1.27it/s] [2024-05-30 00:07:01] INFO group_quantization.py:217: Compiling quantize function for key: ((3072, 1024), float16, cuda, axis=1, output_transpose=False)
3%|▎ | 5/171 [00:05<02:10, 1.27it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.self_attn.c_attn.q_weight", shape: (3072, 104), dtype: uint32
3%|▎ | 5/171 [00:06<02:10, 1.27it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.self_attn.c_attn.q_scale", shape: (3072, 26), dtype: float16
3%|▎ | 5/171 [00:06<02:10, 1.27it/s] 5%|▍ | 8/171 [00:06<01:08, 2.39it/s] [2024-05-30 00:07:02] INFO group_quantization.py:217: Compiling quantize function for key: ((1024, 1024), float16, cuda, axis=1, output_transpose=False)
5%|▍ | 8/171 [00:06<01:08, 2.39it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.self_attn.o_proj.q_weight", shape: (1024, 104), dtype: uint32
5%|▍ | 8/171 [00:06<01:08, 2.39it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.0.self_attn.o_proj.q_scale", shape: (1024, 26), dtype: float16
5%|▍ | 8/171 [00:06<01:08, 2.39it/s] 5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (1024,), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.1.mlp.down_proj.q_weight", shape: (1024, 284), dtype: uint32
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.1.mlp.down_proj.q_scale", shape: (1024, 71), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.1.mlp.gate_up_proj.q_weight", shape: (5632, 104), dtype: uint32
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.1.mlp.gate_up_proj.q_scale", shape: (5632, 26), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (1024,), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.bias", shape: (3072,), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.1.self_attn.c_attn.q_weight", shape: (3072, 104), dtype: uint32
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.1.self_attn.c_attn.q_scale", shape: (3072, 26), dtype: float16
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5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.10.mlp.down_proj.q_scale", shape: (1024, 71), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.10.mlp.gate_up_proj.q_weight", shape: (5632, 104), dtype: uint32
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.10.mlp.gate_up_proj.q_scale", shape: (5632, 26), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (1024,), dtype: float16
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5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.10.self_attn.o_proj.q_scale", shape: (1024, 26), dtype: float16
5%|▌ | 9/171 [00:06<01:05, 2.46it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (1024,), dtype: float16
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5%|▌ | 9/171 [00:06<01:05, 2.46it/s] 15%|█▍ | 25/171 [00:06<00:11, 12.92it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.11.mlp.gate_up_proj.q_weight", shape: (5632, 104), dtype: uint32
15%|█▍ | 25/171 [00:06<00:11, 12.92it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.11.mlp.gate_up_proj.q_scale", shape: (5632, 26), dtype: float16
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15%|█▍ | 25/171 [00:06<00:11, 12.92it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.12.post_attention_layernorm.weight", shape: (1024,), dtype: float16
15%|█▍ | 25/171 [00:06<00:11, 12.92it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.12.self_attn.c_attn.bias", shape: (3072,), dtype: float16
15%|█▍ | 25/171 [00:06<00:11, 12.92it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.12.self_attn.c_attn.q_weight", shape: (3072, 104), dtype: uint32
15%|█▍ | 25/171 [00:06<00:11, 12.92it/s] [2024-05-30 00:07:02] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.layers.12.self_attn.c_attn.q_scale", shape: (3072, 26), dtype: float16
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[2024-05-30 00:07:03] INFO huggingface_loader.py:196: Unloading HF weight file: dist/models/Qwen1.5-0.5B-Chat/model.safetensors
[2024-05-30 00:07:04] INFO stats.py:76: Time usage: HF loading: 1.324 sec; Pre-quantization mapping: 2.112 sec; Quantization: 3.070 sec
[2024-05-30 00:07:04] INFO stats.py:90: RAM usage: Peak RAM: 2.308 GB. Total bytes loaded from disk: 2.308 GB
[2024-05-30 00:07:04] INFO convert_weight.py:155: Parameter size after quantization: 0.264 GB
[2024-05-30 00:07:04] INFO convert_weight.py:160: Total parameters: 619,570,176
[2024-05-30 00:07:04] INFO convert_weight.py:161: Bits per parameter: 3.656
[2024-05-30 00:07:04] INFO convert_weight.py:166: Saved to directory: /tmp/tmpycunqk51
All finished, 7 total shards committed, record saved to /tmp/tmpycunqk51/ndarray-cache.json