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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: [92mFound[0m 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: [92mFound[0m model type: [1mphi3[0m. Use `--model-type` to override. [2024-05-26 04:14:01] INFO phi3_model.py:53: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096) [2024-05-26 04:14:01] INFO phi3_model.py:68: [1mprefill_chunk_size[0m defaults to 2048 [2024-05-26 04:14:01] INFO config.py:106: Overriding [1mmax_batch_size[0m from 1 to 80 [2024-05-26 04:14:01] INFO gen_config.py:255: [generation_config.json] Setting [1mbos_token_id[0m: 1 [2024-05-26 04:14:01] INFO gen_config.py:255: [generation_config.json] Setting [1meos_token_id[0m: [32000, 32001, 32007] [2024-05-26 04:14:01] INFO gen_config.py:255: [generation_config.json] Setting [1mpad_token_id[0m: 32000 [2024-05-26 04:14:01] INFO gen_config.py:267: [92mFound[0m tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/tokenizer.model. Copying to [1m/ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/tokenizer.model[0m [2024-05-26 04:14:01] INFO gen_config.py:267: [92mFound[0m tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/tokenizer.json. Copying to [1m/ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/tokenizer.json[0m [2024-05-26 04:14:01] INFO gen_config.py:269: [91mNot found[0m 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: [91mNot found[0m 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: [92mFound[0m tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/added_tokens.json. Copying to [1m/ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/added_tokens.json[0m [2024-05-26 04:14:01] INFO gen_config.py:267: [92mFound[0m tokenizer config: /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/tokenizer_config.json. Copying to [1m/ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/tokenizer_config.json[0m [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mtemperature[0m: 0.7 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mpresence_penalty[0m: 0.0 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mfrequency_penalty[0m: 0.0 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mrepetition_penalty[0m: 1.0 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mtop_p[0m: 0.95 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mmean_gen_len[0m: 128 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mmax_gen_len[0m: 512 [2024-05-26 04:14:01] INFO gen_config.py:80: [System default] Setting [1mshift_fill_factor[0m: 0.3 [2024-05-26 04:14:01] INFO gen_config.py:335: Dumping configuration file to: [1m/ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC/mlc-chat-config.json[0m /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: [92mFound[0m 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: [92mFound[0m device: cuda:0 [2024-05-26 04:14:03] INFO auto_device.py:79: [92mFound[0m device: cuda:1 [2024-05-26 04:14:04] INFO auto_device.py:88: [91mNot found[0m device: rocm:0 [2024-05-26 04:14:05] INFO auto_device.py:88: [91mNot found[0m device: metal:0 [2024-05-26 04:14:06] INFO auto_device.py:79: [92mFound[0m device: vulkan:0 [2024-05-26 04:14:06] INFO auto_device.py:79: [92mFound[0m device: vulkan:1 [2024-05-26 04:14:06] INFO auto_device.py:79: [92mFound[0m device: vulkan:2 [2024-05-26 04:14:07] INFO auto_device.py:88: [91mNot found[0m device: opencl:0 [2024-05-26 04:14:07] INFO auto_device.py:35: Using device: [1mcuda:0[0m [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: [91mNot found[0m Huggingface PyTorch [2024-05-26 04:14:07] INFO auto_weight.py:143: [92mFound[0m 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: [1m/ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model.safetensors.index.json[0m. Use `--source` to override. [2024-05-26 04:14:07] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override. [2024-05-26 04:14:07] INFO auto_config.py:153: [92mFound[0m model type: [1mphi3[0m. Use `--model-type` to override. [2024-05-26 04:14:07] INFO phi3_model.py:53: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (4096) [2024-05-26 04:14:07] INFO phi3_model.py:68: [1mprefill_chunk_size[0m defaults to 2048 [1mWeight conversion with arguments:[0m [1m--config[0m /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/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 phi3 [1m--device[0m cuda:0 [1m--source[0m /ssd1/rickzhou/models/hf/models--microsoft--Phi-3-mini-4k-instruct/snapshots/5fa34190089f0ee40f9cce3cafc396b89b2e5e83/model.safetensors.index.json [1m--source-format[0m huggingface-safetensor [1m--output[0m /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: "[1mlm_head.q_weight[0m", 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: "[1mlm_head.q_scale[0m", 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) 1%| | 1/195 [00:02<09:10, 2.84s/it] [2024-05-26 04:14:13] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.21.ln.weight[0m", shape: (3072,), dtype: float32 1%| | 1/195 [00:02<09:10, 2.84s/it] [2024-05-26 04:14:13] INFO group_quantization.py:217: Compiling quantize function for key: ((3072, 8192), float32, cuda, axis=1, output_transpose=False) 1%| | 1/195 [00:02<09:10, 2.84s/it] [2024-05-26 04:14:14] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.21.mlp.down_proj.q_weight[0m", shape: (3072, 1024), dtype: uint32 1%| | 1/195 [00:03<09:10, 2.84s/it] [2024-05-26 04:14:14] INFO huggingface_loader.py:166: 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[00:03<02:12, 1.44it/s] [2024-05-26 04:14:14] INFO group_quantization.py:217: Compiling quantize function for key: ((9216, 3072), float32, cuda, axis=1, output_transpose=False) 2%|β | 4/195 [00:03<02:12, 1.44it/s] [2024-05-26 04:14:14] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.21.mixer.qkv_proj.q_weight[0m", shape: (9216, 384), dtype: uint32 2%|β | 4/195 [00:03<02:12, 1.44it/s] [2024-05-26 04:14:14] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.21.mixer.qkv_proj.q_scale[0m", shape: (9216, 96), dtype: float32 2%|β | 4/195 [00:03<02:12, 1.44it/s] 3%|β | 6/195 [00:03<01:23, 2.26it/s] [2024-05-26 04:14:14] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.22.ln.weight[0m", shape: (3072,), dtype: float32 3%|β | 6/195 [00:03<01:23, 2.26it/s] [2024-05-26 04:14:14] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.22.mlp.down_proj.q_weight[0m", shape: (3072, 1024), dtype: uint32 3%|β | 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INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.17.mixer.qkv_proj.q_weight[0m", shape: (9216, 384), dtype: uint32 64%|βββββββ | 124/195 [00:10<00:02, 27.92it/s] [2024-05-26 04:14:20] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.17.mixer.qkv_proj.q_scale[0m", shape: (9216, 96), dtype: float32 64%|βββββββ | 124/195 [00:10<00:02, 27.92it/s] 66%|βββββββ | 128/195 [00:10<00:02, 24.82it/s] [2024-05-26 04:14:20] INFO huggingface_loader.py:174: [Not quantized] Parameter: "[1mtransformer.h.18.ln.weight[0m", shape: (3072,), dtype: float32 66%|βββββββ | 128/195 [00:10<00:02, 24.82it/s] [2024-05-26 04:14:20] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.18.mlp.down_proj.q_weight[0m", shape: (3072, 1024), dtype: uint32 66%|βββββββ | 128/195 [00:10<00:02, 24.82it/s] [2024-05-26 04:14:20] INFO huggingface_loader.py:166: [Quantized] Parameter: "[1mtransformer.h.18.mlp.down_proj.q_scale[0m", shape: (3072, 256), dtype: 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/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: [92mTime usage[0m: 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: [92mRAM usage[0m: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB [2024-05-26 04:14:24] INFO convert_weight.py:155: [92mParameter size[0m after quantization: 2.225 GB [2024-05-26 04:14:24] INFO convert_weight.py:160: [92mTotal parameters[0m: 3,821,079,552 [2024-05-26 04:14:24] INFO convert_weight.py:161: [92mBits per parameter[0m: 5.001 [2024-05-26 04:14:24] INFO convert_weight.py:166: Saved to directory: [1m/ssd1/rickzhou/models/Phi-3-mini-4k-instruct-q4f32_1-MLC[0m 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 |