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/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83 --quantization q4f32_1 --conv-template phi-3 --output /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC
[2024-05-26 04:14:01] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/config.json
[2024-05-26 04:14:01] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-26 04:14:01] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-26 04:14:01] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
[2024-05-26 04:14:01] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-26 04:14:01] INFO gen_config.py:255: [generation_config.json] Setting bos_token_id: 1
[2024-05-26 04:14:01] INFO gen_config.py:255: [generation_config.json] Setting eos_token_id: [32000, 32001, 32007]
[2024-05-26 04:14:01] INFO gen_config.py:255: [generation_config.json] Setting pad_token_id: 32000
[2024-05-26 04:14:01] INFO gen_config.py:267: Found tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/tokenizer.model. Copying to /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/tokenizer.model
[2024-05-26 04:14:01] INFO gen_config.py:267: Found tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/tokenizer.json. Copying to /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/tokenizer.json
[2024-05-26 04:14:01] INFO gen_config.py:269: Not found tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/vocab.json
[2024-05-26 04:14:01] INFO gen_config.py:269: Not found tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/merges.txt
[2024-05-26 04:14:01] INFO gen_config.py:267: Found tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/added_tokens.json. Copying to /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/added_tokens.json
[2024-05-26 04:14:01] INFO gen_config.py:267: Found tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/tokenizer_config.json. Copying to /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/tokenizer_config.json
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting temperature: 0.7
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting presence_penalty: 0.0
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting frequency_penalty: 0.0
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting repetition_penalty: 1.0
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting top_p: 0.95
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting mean_gen_len: 128
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting max_gen_len: 512
[2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting shift_fill_factor: 0.3
[2024-05-26 04:14:01] INFO gen_config.py:335: Dumping configuration file to: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/mlc-chat-config.json
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83 --quantization q4f32_1 --source-format auto --output /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC
[2024-05-26 04:14:02] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/config.json
[2024-05-26 04:14:03] INFO auto_device.py:79: Found device: cuda:0
[2024-05-26 04:14:03] INFO auto_device.py:79: Found device: cuda:1
[2024-05-26 04:14:04] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-26 04:14:05] INFO auto_device.py:88: Not found device: metal:0
[2024-05-26 04:14:06] INFO auto_device.py:79: Found device: vulkan:0
[2024-05-26 04:14:06] INFO auto_device.py:79: Found device: vulkan:1
[2024-05-26 04:14:06] INFO auto_device.py:79: Found device: vulkan:2
[2024-05-26 04:14:07] INFO auto_device.py:88: Not found device: opencl:0
[2024-05-26 04:14:07] INFO auto_device.py:35: Using device: cuda:0
[2024-05-26 04:14:07] INFO auto_weight.py:70: Finding weights in: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83
[2024-05-26 04:14:07] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-26 04:14:07] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model.safetensors.index.json
[2024-05-26 04:14:07] INFO auto_weight.py:106: Using source weight configuration: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model.safetensors.index.json. Use `--source` to override.
[2024-05-26 04:14:07] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-26 04:14:07] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-26 04:14:07] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-26 04:14:07] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/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 phi3
--device cuda:0
--source /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model.safetensors.index.json
--source-format huggingface-safetensor
--output /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC
Start storing to cache /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC
0%| | 0/195 [00:00<?, ?it/s] [2024-05-26 04:14:10] INFO huggingface_loader.py:184: Loading HF parameters from: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model-00002-of-00002.safetensors
0%| | 0/195 [00:00<?, ?it/s] [2024-05-26 04:14:12] INFO group_quantization.py:217: Compiling quantize function for key: ((32064, 3072), float32, cuda, axis=1, output_transpose=False)
0%| | 0/195 [00:01<?, ?it/s] [2024-05-26 04:14:13] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_weight", shape: (32064, 384), dtype: uint32
0%| | 0/195 [00:02<?, ?it/s] [2024-05-26 04:14:13] INFO huggingface_loader.py:166: [Quantized] Parameter: "lm_head.q_scale", shape: (32064, 96), dtype: float32
0%| | 0/195 [00:02<?, ?it/s]/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> 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 <class 'numpy.float32'> type is zero.
return self._float_to_str(self.smallest_subnormal)
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12%|█▏ | 23/195 [00:04<00:13, 13.04it/s] [2024-05-26 04:14:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.25.ln.weight", shape: (3072,), dtype: float32
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13%|█▎ | 26/195 [00:05<00:10, 15.50it/s] [2024-05-26 04:14:15] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.25.mlp.gate_up_proj.q_scale", shape: (16384, 96), dtype: float32
13%|█▎ | 26/195 [00:05<00:10, 15.50it/s] [2024-05-26 04:14:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.25.post_attention_layernorm.weight", shape: (3072,), dtype: float32
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[2024-05-26 04:14:23] INFO huggingface_loader.py:196: Unloading HF weight file: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model-00001-of-00002.safetensors
[2024-05-26 04:14:23] INFO stats.py:76: Time usage: HF loading: 2.551 sec; Pre-quantization mapping: 1.725 sec; Quantization: 2.476 sec
[2024-05-26 04:14:23] INFO stats.py:90: RAM usage: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB
[2024-05-26 04:14:24] INFO convert_weight.py:155: Parameter size after quantization: 2.225 GB
[2024-05-26 04:14:24] INFO convert_weight.py:160: Total parameters: 3,821,079,552
[2024-05-26 04:14:24] INFO convert_weight.py:161: Bits per parameter: 5.001
[2024-05-26 04:14:24] INFO convert_weight.py:166: Saved to directory: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC
All finished, 83 total shards committed, record saved to /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/ndarray-cache.json
Also saved a bf16 record to /ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/ndarray-cache-b16.json