diff --git "a/logs.txt" "b/logs.txt" new file mode 100644--- /dev/null +++ "b/logs.txt" @@ -0,0 +1,1595 @@ +/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Phi-3-mini-128k-instruct --quantization q4f32_1 --conv-template phi-3 --output /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC +[2024-06-02 06:08:17] INFO auto_config.py:116: Found model configuration: /models/Phi-3-mini-128k-instruct/config.json +[2024-06-02 06:08:17] INFO auto_config.py:154: Found model type: phi3. Use `--model-type` to override. +[2024-06-02 06:08:17] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (131072) +[2024-06-02 06:08:17] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048 +[2024-06-02 06:08:17] INFO config.py:107: Overriding max_batch_size from 1 to 80 +[2024-06-02 06:08:17] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 1 +[2024-06-02 06:08:17] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [32000, 32001, 32007] +[2024-06-02 06:08:17] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 32000 +[2024-06-02 06:08:17] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/tokenizer.model. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/tokenizer.model +[2024-06-02 06:08:17] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/tokenizer.json +[2024-06-02 06:08:17] INFO gen_config.py:157: Not found tokenizer config: /models/Phi-3-mini-128k-instruct/vocab.json +[2024-06-02 06:08:17] INFO gen_config.py:157: Not found tokenizer config: /models/Phi-3-mini-128k-instruct/merges.txt +[2024-06-02 06:08:17] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/added_tokens.json. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/added_tokens.json +[2024-06-02 06:08:17] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/tokenizer_config.json +[2024-06-02 06:08:17] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True} +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting temperature: 1.0 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting top_p: 1.0 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting max_gen_len: 512 +[2024-06-02 06:08:17] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3 +[2024-06-02 06:08:17] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/mlc-chat-config.json +/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Phi-3-mini-128k-instruct --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC +[2024-06-02 06:08:19] INFO auto_config.py:116: Found model configuration: /models/Phi-3-mini-128k-instruct/config.json +[2024-06-02 06:08:20] INFO auto_device.py:79: Found device: cuda:0 +[2024-06-02 06:08:21] INFO auto_device.py:88: Not found device: rocm:0 +[2024-06-02 06:08:23] INFO auto_device.py:88: Not found device: metal:0 +[2024-06-02 06:08:24] INFO auto_device.py:79: Found device: vulkan:0 +[2024-06-02 06:08:24] INFO auto_device.py:79: Found device: vulkan:1 +[2024-06-02 06:08:24] INFO auto_device.py:79: Found device: vulkan:2 +[2024-06-02 06:08:24] INFO auto_device.py:79: Found device: vulkan:3 +[2024-06-02 06:08:26] INFO auto_device.py:88: Not found device: opencl:0 +[2024-06-02 06:08:26] INFO auto_device.py:35: Using device: cuda:0 +[2024-06-02 06:08:26] INFO auto_weight.py:71: Finding weights in: /models/Phi-3-mini-128k-instruct +[2024-06-02 06:08:26] INFO auto_weight.py:137: Not found Huggingface PyTorch +[2024-06-02 06:08:26] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Phi-3-mini-128k-instruct/model.safetensors.index.json +[2024-06-02 06:08:26] INFO auto_weight.py:107: Using source weight configuration: /models/Phi-3-mini-128k-instruct/model.safetensors.index.json. Use `--source` to override. +[2024-06-02 06:08:26] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override. +[2024-06-02 06:08:26] INFO auto_config.py:154: Found model type: phi3. Use `--model-type` to override. +[2024-06-02 06:08:26] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (131072) +[2024-06-02 06:08:26] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048 +Weight conversion with arguments: + --config /models/Phi-3-mini-128k-instruct/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 /models/Phi-3-mini-128k-instruct/model.safetensors.index.json + --source-format huggingface-safetensor + --output /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC +Start storing to cache /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC + 0%| | 0/195 [00:00 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 type is zero. + return self._float_to_str(self.smallest_subnormal) + 1%| | 1/195 [00:02<09:32, 2.95s/it] [2024-06-02 04:04:10] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.21.ln.weight", shape: (3072,), dtype: float32 + 1%| | 1/195 [00:02<09:32, 2.95s/it] [2024-06-02 04:04:10] INFO group_quantization.py:217: Compiling quantize function for key: ((3072, 8192), float32, cuda, axis=1, output_transpose=False) + 1%| | 1/195 [00:02<09:32, 2.95s/it] [2024-06-02 04:04:11] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.21.mlp.down_proj.q_weight", shape: (3072, 1024), dtype: uint32 + 1%| | 1/195 [00:03<09:32, 2.95s/it] [2024-06-02 04:04:11] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.21.mlp.down_proj.q_scale", shape: (3072, 256), dtype: float32 + 1%| | 1/195 [00:03<09:32, 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axis=1, output_transpose=False) + 2%|▏ | 4/195 [00:03<02:21, 1.35it/s] [2024-06-02 04:04:11] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.21.mixer.qkv_proj.q_weight", shape: (9216, 384), dtype: uint32 + 2%|▏ | 4/195 [00:04<02:21, 1.35it/s] [2024-06-02 04:04:11] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.21.mixer.qkv_proj.q_scale", shape: (9216, 96), dtype: float32 + 2%|▏ | 4/195 [00:04<02:21, 1.35it/s] 3%|▎ | 6/195 [00:04<01:30, 2.09it/s] [2024-06-02 04:04:12] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.22.ln.weight", shape: (3072,), dtype: float32 + 3%|▎ | 6/195 [00:04<01:30, 2.09it/s] [2024-06-02 04:04:12] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.22.mlp.down_proj.q_weight", shape: (3072, 1024), dtype: uint32 + 3%|▎ | 6/195 [00:04<01:30, 2.09it/s] [2024-06-02 04:04:12] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.22.mlp.down_proj.q_scale", shape: 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[2024-06-02 04:04:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.ln.weight", shape: (3072,), dtype: float32 + 90%|█████████ | 176/195 [00:16<00:01, 15.16it/s] [2024-06-02 04:04:24] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.7.mlp.down_proj.q_weight", shape: (3072, 1024), dtype: uint32 + 90%|█████████ | 176/195 [00:16<00:01, 15.16it/s] [2024-06-02 04:04:24] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.7.mlp.down_proj.q_scale", shape: (3072, 256), dtype: float32 + 90%|█████████ | 176/195 [00:16<00:01, 15.16it/s] 92%|█████████▏| 179/195 [00:16<00:00, 16.70it/s] [2024-06-02 04:04:24] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.7.mlp.gate_up_proj.q_weight", shape: (16384, 384), dtype: uint32 + 92%|█████████▏| 179/195 [00:16<00:00, 16.70it/s] [2024-06-02 04:04:24] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.7.mlp.gate_up_proj.q_scale", shape: (16384, 96), 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"transformer.h.9.mixer.out_proj.q_scale", shape: (3072, 96), dtype: float32 + 99%|█████████▉| 193/195 [00:17<00:00, 15.62it/s] [2024-06-02 04:04:25] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.9.mixer.qkv_proj.q_weight", shape: (9216, 384), dtype: uint32 + 99%|█████████▉| 193/195 [00:17<00:00, 15.62it/s] [2024-06-02 04:04:25] INFO huggingface_loader.py:166: [Quantized] Parameter: "transformer.h.9.mixer.qkv_proj.q_scale", shape: (9216, 96), dtype: float32 + 99%|█████████▉| 193/195 [00:17<00:00, 15.62it/s] 100%|██████████| 195/195 [00:17<00:00, 15.48it/s] 100%|██████████| 195/195 [00:17<00:00, 11.13it/s] +[2024-06-02 04:04:25] INFO huggingface_loader.py:196: Unloading HF weight file: /ssd1/rickzhou/models/Phi-3-mini-128k-instruct/model-00001-of-00002.safetensors +[2024-06-02 04:04:25] INFO stats.py:76: Time usage: HF loading: 2.646 sec; Pre-quantization mapping: 1.733 sec; Quantization: 2.463 sec +[2024-06-02 04:04:25] INFO stats.py:90: RAM usage: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB +[2024-06-02 04:04:25] INFO convert_weight.py:155: Parameter size after quantization: 2.225 GB +[2024-06-02 04:04:25] INFO convert_weight.py:160: Total parameters: 3,821,079,552 +[2024-06-02 04:04:25] INFO convert_weight.py:161: Bits per parameter: 5.001 +[2024-06-02 04:04:25] INFO convert_weight.py:166: Saved to directory: /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC + +All finished, 83 total shards committed, record saved to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/ndarray-cache.json +Also saved a bf16 record to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/ndarray-cache-b16.json +/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Phi-3-mini-128k-instruct --quantization q4f32_1 --conv-template phi-3 --output /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC +[2024-06-04 02:47:01] INFO auto_config.py:116: Found model configuration: /models/Phi-3-mini-128k-instruct/config.json +[2024-06-04 02:47:01] INFO auto_config.py:154: Found model type: phi3. Use `--model-type` to override. +[2024-06-04 02:47:01] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (131072) +[2024-06-04 02:47:01] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048 +[2024-06-04 02:47:01] INFO config.py:107: Overriding max_batch_size from 1 to 80 +[2024-06-04 02:47:01] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 1 +[2024-06-04 02:47:01] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [32000, 32001, 32007] +[2024-06-04 02:47:01] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 32000 +[2024-06-04 02:47:01] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/tokenizer.model. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/tokenizer.model +[2024-06-04 02:47:01] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/tokenizer.json +[2024-06-04 02:47:01] INFO gen_config.py:157: Not found tokenizer config: /models/Phi-3-mini-128k-instruct/vocab.json +[2024-06-04 02:47:01] INFO gen_config.py:157: Not found tokenizer config: /models/Phi-3-mini-128k-instruct/merges.txt +[2024-06-04 02:47:01] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/added_tokens.json. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/added_tokens.json +[2024-06-04 02:47:01] INFO gen_config.py:155: Found tokenizer config: /models/Phi-3-mini-128k-instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/tokenizer_config.json +[2024-06-04 02:47:01] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True} +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting temperature: 1.0 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting repetition_penalty: 1.0 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting top_p: 1.0 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting mean_gen_len: 128 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting max_gen_len: 512 +[2024-06-04 02:47:01] INFO gen_config.py:32: [System default] Setting shift_fill_factor: 0.3 +[2024-06-04 02:47:01] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC/mlc-chat-config.json +/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Phi-3-mini-128k-instruct --quantization q4f32_1 --output /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC +[2024-06-04 02:47:02] INFO auto_config.py:116: Found model configuration: /models/Phi-3-mini-128k-instruct/config.json +[2024-06-04 02:47:04] INFO auto_device.py:79: Found device: cuda:0 +[2024-06-04 02:47:05] INFO auto_device.py:88: Not found device: rocm:0 +[2024-06-04 02:47:07] INFO auto_device.py:88: Not found device: metal:0 +[2024-06-04 02:47:09] INFO auto_device.py:79: Found device: vulkan:0 +[2024-06-04 02:47:09] INFO auto_device.py:79: Found device: vulkan:1 +[2024-06-04 02:47:09] INFO auto_device.py:79: Found device: vulkan:2 +[2024-06-04 02:47:09] INFO auto_device.py:79: Found device: vulkan:3 +[2024-06-04 02:47:10] INFO auto_device.py:88: Not found device: opencl:0 +[2024-06-04 02:47:10] INFO auto_device.py:35: Using device: cuda:0 +[2024-06-04 02:47:10] INFO auto_weight.py:71: Finding weights in: /models/Phi-3-mini-128k-instruct +[2024-06-04 02:47:10] INFO auto_weight.py:137: Not found Huggingface PyTorch +[2024-06-04 02:47:10] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Phi-3-mini-128k-instruct/model.safetensors.index.json +[2024-06-04 02:47:10] INFO auto_weight.py:107: Using source weight configuration: /models/Phi-3-mini-128k-instruct/model.safetensors.index.json. Use `--source` to override. +[2024-06-04 02:47:10] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override. +[2024-06-04 02:47:10] INFO auto_config.py:154: Found model type: phi3. Use `--model-type` to override. +[2024-06-04 02:47:10] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (131072) +[2024-06-04 02:47:10] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048 +Weight conversion with arguments: + --config /models/Phi-3-mini-128k-instruct/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 /models/Phi-3-mini-128k-instruct/model.safetensors.index.json + --source-format huggingface-safetensor + --output /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC +Start storing to cache /models/mlc-delivery/hf/mlc-ai/Phi-3-mini-128k-instruct-q4f32_1-MLC + 0%| | 0/195 [00:00