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/usr/bin/python3 -m mlc_llm gen_config dist/models/stablelm-2-zephyr-1_6b --quantization q4f32_1 --conv-template stablelm-2 --output /tmp/tmpt74_sq0w --context-window-size 4096
[2024-05-24 18:29:33] INFO auto_config.py:115: Found model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json
[2024-05-24 18:29:33] INFO auto_config.py:153: Found model type: stablelm. Use `--model-type` to override.
[2024-05-24 18:29:33] INFO stablelm_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-24 18:29:33] INFO stablelm_model.py:66: prefill_chunk_size defaults to 2048
[2024-05-24 18:29:33] INFO config.py:106: Overriding context_window_size from 4096 to 4096
[2024-05-24 18:29:33] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-24 18:29:33] INFO gen_config.py:255: [generation_config.json] Setting bos_token_id: 100257
[2024-05-24 18:29:33] INFO gen_config.py:255: [generation_config.json] Setting eos_token_id: 100257
[2024-05-24 18:29:33] INFO gen_config.py:269: Not found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.model
[2024-05-24 18:29:33] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer.json. Copying to /tmp/tmpt74_sq0w/tokenizer.json
[2024-05-24 18:29:33] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/vocab.json. Copying to /tmp/tmpt74_sq0w/vocab.json
[2024-05-24 18:29:33] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/merges.txt. Copying to /tmp/tmpt74_sq0w/merges.txt
[2024-05-24 18:29:33] INFO gen_config.py:269: Not found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/added_tokens.json
[2024-05-24 18:29:33] INFO gen_config.py:267: Found tokenizer config: dist/models/stablelm-2-zephyr-1_6b/tokenizer_config.json. Copying to /tmp/tmpt74_sq0w/tokenizer_config.json
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting pad_token_id: 0
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting temperature: 0.7
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting presence_penalty: 0.0
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting frequency_penalty: 0.0
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting repetition_penalty: 1.0
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting top_p: 0.95
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting mean_gen_len: 128
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting max_gen_len: 512
[2024-05-24 18:29:33] INFO gen_config.py:80: [System default] Setting shift_fill_factor: 0.3
[2024-05-24 18:29:33] INFO gen_config.py:335: Dumping configuration file to: /tmp/tmpt74_sq0w/mlc-chat-config.json
/usr/bin/python3 -m mlc_llm convert_weight dist/models/stablelm-2-zephyr-1_6b --quantization q4f32_1 --source-format auto --output /tmp/tmpt74_sq0w
[2024-05-24 18:29:34] INFO auto_config.py:115: Found model configuration: dist/models/stablelm-2-zephyr-1_6b/config.json
[2024-05-24 18:29:36] INFO auto_device.py:79: Found device: cuda:0
[2024-05-24 18:29:37] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-24 18:29:38] INFO auto_device.py:88: Not found device: metal:0
[2024-05-24 18:29:39] INFO auto_device.py:88: Not found device: vulkan:0
[2024-05-24 18:29:40] INFO auto_device.py:88: Not found device: opencl:0
[2024-05-24 18:29:40] INFO auto_device.py:35: Using device: cuda:0
[2024-05-24 18:29:40] INFO auto_weight.py:70: Finding weights in: dist/models/stablelm-2-zephyr-1_6b
[2024-05-24 18:29:40] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-24 18:29:40] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json
[2024-05-24 18:29:40] INFO auto_weight.py:106: Using source weight configuration: dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json. Use `--source` to override.
[2024-05-24 18:29:40] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-24 18:29:40] INFO auto_config.py:153: Found model type: stablelm. Use `--model-type` to override.
[2024-05-24 18:29:40] INFO stablelm_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-24 18:29:40] INFO stablelm_model.py:66: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config dist/models/stablelm-2-zephyr-1_6b/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 stablelm
--device cuda:0
--source dist/models/stablelm-2-zephyr-1_6b/model.safetensors.index.json
--source-format huggingface-safetensor
--output /tmp/tmpt74_sq0w
Start storing to cache /tmp/tmpt74_sq0w
0%| | 0/220 [00:00<?, ?it/s] [2024-05-24 18:29:43] INFO huggingface_loader.py:184: Loading HF parameters from: dist/models/stablelm-2-zephyr-1_6b/model.safetensors
0%| | 0/220 [00:00<?, ?it/s] [2024-05-24 18:29:44] INFO group_quantization.py:217: Compiling quantize function for key: ((100352, 2048), float32, cuda, axis=1, output_transpose=False)
0%| | 0/220 [00:01<?, ?it/s] [2024-05-24 18:29:46] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_weight", shape: (100352, 256), dtype: uint32
0%| | 0/220 [00:03<?, ?it/s] [2024-05-24 18:29:46] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_scale", shape: (100352, 64), dtype: float32
0%| | 0/220 [00:03<?, ?it/s]/home/tlopex/.local/lib/python3.8/site-packages/numpy/core/getlimits.py:518: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
setattr(self, word, getattr(machar, word).flat[0])
/home/tlopex/.local/lib/python3.8/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
0%| | 1/220 [00:03<12:53, 3.53s/it] [2024-05-24 18:29:47] INFO huggingface_loader.py:166: [Quantized] Parameter: "model.embed_tokens.q_weight", shape: (100352, 256), dtype: uint32
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0%| | 1/220 [00:04<12:53, 3.53s/it] 1%| | 2/220 [00:04<07:50, 2.16s/it] [2024-05-24 18:29:47] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.0.input_layernorm.bias", shape: (2048,), dtype: float32
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1%| | 2/220 [00:04<07:50, 2.16s/it] [2024-05-24 18:29:47] INFO group_quantization.py:217: Compiling quantize function for key: ((2048, 5632), float32, cuda, axis=1, output_transpose=False)
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1%| | 2/220 [00:05<07:50, 2.16s/it] 2%|▏ | 5/220 [00:05<02:28, 1.45it/s] [2024-05-24 18:29:48] INFO group_quantization.py:217: Compiling quantize function for key: ((11264, 2048), float32, cuda, axis=1, output_transpose=False)
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2%|▏ | 5/220 [00:05<02:28, 1.45it/s] 3%|▎ | 6/220 [00:05<02:09, 1.65it/s] [2024-05-24 18:29:48] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.bias", shape: (2048,), dtype: float32
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97%|█████████▋| 213/220 [00:09<00:00, 52.30it/s] [2024-05-24 18:29:53] INFO huggingface_loader.py:174: [Not quantized] Parameter: "model.norm.weight", shape: (2048,), dtype: float32
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[2024-05-24 18:29:53] INFO huggingface_loader.py:196: Unloading HF weight file: dist/models/stablelm-2-zephyr-1_6b/model.safetensors
[2024-05-24 18:29:53] INFO stats.py:76: Time usage: HF loading: 1.007 sec; Pre-quantization mapping: 3.312 sec; Quantization: 2.344 sec
[2024-05-24 18:29:53] INFO stats.py:90: RAM usage: Peak RAM: 3.063 GB. Total bytes loaded from disk: 3.063 GB
[2024-05-24 18:29:53] INFO convert_weight.py:155: Parameter size after quantization: 0.958 GB
[2024-05-24 18:29:53] INFO convert_weight.py:160: Total parameters: 1,644,515,328
[2024-05-24 18:29:53] INFO convert_weight.py:161: Bits per parameter: 5.006
[2024-05-24 18:29:53] INFO convert_weight.py:166: Saved to directory: /tmp/tmpt74_sq0w
All finished, 27 total shards committed, record saved to /tmp/tmpt74_sq0w/ndarray-cache.json
Also saved a bf16 record to /tmp/tmpt74_sq0w/ndarray-cache-b16.json