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/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm gen_config /tmp/tmpo8_dluj_/repo --quantization q4f32_1 --conv-template chatml --output /tmp/tmpx3x6wnfw
[2024-03-19 01:27:45] INFO auto_config.py:115: [92mFound[0m model configuration: /tmp/tmpo8_dluj_/repo/config.json
[2024-03-19 01:27:45] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
[2024-03-19 01:27:45] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096)
[2024-03-19 01:27:45] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (4096)
[2024-03-19 01:27:45] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80
[2024-03-19 01:27:45] INFO gen_config.py:133: [generation_config.json] Setting [1mbos_token_id[0m: 1
[2024-03-19 01:27:45] INFO gen_config.py:133: [generation_config.json] Setting [1meos_token_id[0m: 2
[2024-03-19 01:27:45] INFO gen_config.py:133: [generation_config.json] Setting [1mpad_token_id[0m: 0
[2024-03-19 01:27:45] INFO gen_config.py:145: [92mFound[0m tokenizer config: /tmp/tmpo8_dluj_/repo/tokenizer.model. Copying to [1m/tmp/tmpx3x6wnfw/tokenizer.model[0m
[2024-03-19 01:27:45] INFO gen_config.py:145: [92mFound[0m tokenizer config: /tmp/tmpo8_dluj_/repo/tokenizer.json. Copying to [1m/tmp/tmpx3x6wnfw/tokenizer.json[0m
[2024-03-19 01:27:45] INFO gen_config.py:147: [91mNot found[0m tokenizer config: /tmp/tmpo8_dluj_/repo/vocab.json
[2024-03-19 01:27:45] INFO gen_config.py:147: [91mNot found[0m tokenizer config: /tmp/tmpo8_dluj_/repo/merges.txt
[2024-03-19 01:27:45] INFO gen_config.py:145: [92mFound[0m tokenizer config: /tmp/tmpo8_dluj_/repo/added_tokens.json. Copying to [1m/tmp/tmpx3x6wnfw/added_tokens.json[0m
[2024-03-19 01:27:45] INFO gen_config.py:145: [92mFound[0m tokenizer config: /tmp/tmpo8_dluj_/repo/tokenizer_config.json. Copying to [1m/tmp/tmpx3x6wnfw/tokenizer_config.json[0m
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mtemperature[0m: 0.7
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mpresence_penalty[0m: 0.0
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mfrequency_penalty[0m: 0.0
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mrepetition_penalty[0m: 1.0
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mtop_p[0m: 0.95
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mmean_gen_len[0m: 128
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mmax_gen_len[0m: 512
[2024-03-19 01:27:45] INFO gen_config.py:75: [System default] Setting [1mshift_fill_factor[0m: 0.3
[2024-03-19 01:27:45] INFO gen_config.py:198: Dumping configuration file to: [1m/tmp/tmpx3x6wnfw/mlc-chat-config.json[0m
/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm convert_weight /tmp/tmpo8_dluj_/repo --quantization q4f32_1 --source-format auto --output /tmp/tmpx3x6wnfw
[2024-03-19 01:27:46] INFO auto_config.py:115: [92mFound[0m model configuration: /tmp/tmpo8_dluj_/repo/config.json
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:0
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:1
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:2
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:3
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:4
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:5
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:6
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:7
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:8
[2024-03-19 01:27:47] INFO auto_device.py:76: [92mFound[0m device: cuda:9
[2024-03-19 01:27:48] INFO auto_device.py:85: [91mNot found[0m device: rocm:0
[2024-03-19 01:27:49] INFO auto_device.py:85: [91mNot found[0m device: metal:0
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:0
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:1
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:2
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:3
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:4
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:5
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:6
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:7
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:8
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:9
[2024-03-19 01:27:52] INFO auto_device.py:76: [92mFound[0m device: vulkan:10
[2024-03-19 01:27:53] INFO auto_device.py:85: [91mNot found[0m device: opencl:0
[2024-03-19 01:27:53] INFO auto_device.py:33: Using device: [1mcuda:0[0m
[2024-03-19 01:27:53] INFO auto_weight.py:70: Finding weights in: /tmp/tmpo8_dluj_/repo
[2024-03-19 01:27:53] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch
[2024-03-19 01:27:54] INFO auto_weight.py:160: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: /tmp/tmpo8_dluj_/repo/model.safetensors.index.json
[2024-03-19 01:27:54] INFO auto_weight.py:106: Using source weight configuration: [1m/tmp/tmpo8_dluj_/repo/model.safetensors.index.json[0m. Use `--source` to override.
[2024-03-19 01:27:54] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
[2024-03-19 01:27:54] INFO auto_config.py:153: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override.
[2024-03-19 01:27:54] INFO llama_model.py:52: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096)
[2024-03-19 01:27:54] INFO llama_model.py:72: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (4096)
[1mWeight conversion with arguments:[0m
[1m--config[0m /tmp/tmpo8_dluj_/repo/config.json
[1m--quantization[0m 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)
[1m--model-type[0m llama
[1m--device[0m cuda:0
[1m--source[0m /tmp/tmpo8_dluj_/repo/model.safetensors.index.json
[1m--source-format[0m huggingface-safetensor
[1m--output[0m /tmp/tmpx3x6wnfw
Start storing to cache /tmp/tmpx3x6wnfw
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[2024-03-19 01:27:55] INFO huggingface_loader.py:182: Loading HF parameters from: /tmp/tmpo8_dluj_/repo/model.safetensors
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[2024-03-19 01:28:07] INFO group_quantization.py:232: Compiling quantize function for key: ((32002, 2048), float32, cuda, axis=1, output_transpose=False)
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[2024-03-19 01:28:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (32002, 256), dtype: uint32
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[2024-03-19 01:28:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (32002, 64), dtype: float32
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setattr(self, word, getattr(machar, word).flat[0])
/home/floriadmin/miniforge3/envs/mlc/lib/python3.11/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)
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[2024-03-19 01:28:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (32002, 256), dtype: uint32
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[2024-03-19 01:28:10] INFO group_quantization.py:232: Compiling quantize function for key: ((2048, 5632), float32, cuda, axis=1, output_transpose=False)
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[2024-03-19 01:28:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (2048, 704), dtype: uint32
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[2024-03-19 01:28:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (2048, 176), dtype: float32
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[2024-03-19 01:28:11] INFO group_quantization.py:232: Compiling quantize function for key: ((11264, 2048), float32, cuda, axis=1, output_transpose=False)
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[2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (11264, 256), dtype: uint32
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[2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (11264, 64), dtype: float32
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[2024-03-19 01:28:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (2048,), dtype: float32
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[2024-03-19 01:28:12] INFO group_quantization.py:232: Compiling quantize function for key: ((2560, 2048), float32, cuda, axis=1, output_transpose=False)
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[2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32
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[2024-03-19 01:28:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32
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[2024-03-19 01:28:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
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[2024-03-19 01:28:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (2048,), dtype: float32
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[2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32
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[2024-03-19 01:28:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32
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[2024-03-19 01:28:30] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (2560, 256), dtype: uint32
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[2024-03-19 01:28:30] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_scale[0m", shape: (2560, 64), dtype: float32
98%|████████████████████████████████████████████████████████████████████████████▎ | 132/135 [00:34<00:00, 7.36it/s]
[2024-03-19 01:28:30] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (2048, 256), dtype: uint32
98%|████████████████████████████████████████████████████████████████████████████▎ | 132/135 [00:34<00:00, 7.36it/s]
[2024-03-19 01:28:30] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (2048, 64), dtype: float32
98%|████████████████████████████████████████████████████████████████████████████▎ | 132/135 [00:34<00:00, 7.36it/s]
99%|█████████████████████████████████████████████████████████████████████████████▍| 134/135 [00:34<00:00, 8.79it/s]
[2024-03-19 01:28:30] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (2048,), dtype: float32
99%|█████████████████████████████████████████████████████████████████████████████▍| 134/135 [00:34<00:00, 8.79it/s]
100%|██████████████████████████████████████████████████████████████████████████████| 135/135 [00:34<00:00, 3.86it/s]
[2024-03-19 01:28:30] INFO huggingface_loader.py:194: Unloading HF weight file: /tmp/tmpo8_dluj_/repo/model.safetensors
[2024-03-19 01:28:30] INFO stats.py:76: [92mTime usage[0m: HF loading: 11.095 sec; Pre-quantization mapping: 5.531 sec; Quantization: 3.180 sec
[2024-03-19 01:28:30] INFO stats.py:90: [92mRAM usage[0m: Peak RAM: 4.098 GB. Total bytes loaded from disk: 4.098 GB
[2024-03-19 01:28:30] INFO convert_weight.py:156: [92mParameter size[0m after quantization: 0.641 GB
[2024-03-19 01:28:30] INFO convert_weight.py:161: [92mTotal parameters[0m: 1,100,056,576
[2024-03-19 01:28:30] INFO convert_weight.py:162: [92mBits per parameter[0m: 5.002
[2024-03-19 01:28:30] INFO convert_weight.py:167: Saved to directory: [1m/tmp/tmpx3x6wnfw[0m
All finished, 24 total shards committed, record saved to /tmp/tmpx3x6wnfw/ndarray-cache.json
Also saved a bf16 record to /tmp/tmpx3x6wnfw/ndarray-cache-b16.json
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