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/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd1/rickzhou/models/Phi-3-mini-4k-instruct --quantization q0f32 --conv-template phi-3 --output /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC
[2024-05-27 02:07:22] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/config.json
[2024-05-27 02:07:22] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-27 02:07:22] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-27 02:07:22] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
[2024-05-27 02:07:22] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-27 02:07:22] INFO gen_config.py:142: [generation_config.json] Setting bos_token_id: 1
[2024-05-27 02:07:22] INFO gen_config.py:142: [generation_config.json] Setting eos_token_id: [32000, 32001, 32007]
[2024-05-27 02:07:22] INFO gen_config.py:142: [generation_config.json] Setting pad_token_id: 32000
[2024-05-27 02:07:22] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/tokenizer.model. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/tokenizer.model
[2024-05-27 02:07:22] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/tokenizer.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/tokenizer.json
[2024-05-27 02:07:22] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/vocab.json
[2024-05-27 02:07:22] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/merges.txt
[2024-05-27 02:07:22] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/added_tokens.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/added_tokens.json
[2024-05-27 02:07:22] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/tokenizer_config.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/tokenizer_config.json
Traceback (most recent call last):
File "<frozen runpy>", line 198, in _run_module_as_main
File "<frozen runpy>", line 88, in _run_code
File "/ssd1/rickzhou/mlc-llm/python/mlc_llm/__main__.py", line 52, in <module>
main()
File "/ssd1/rickzhou/mlc-llm/python/mlc_llm/__main__.py", line 33, in main
cli.main(sys.argv[2:])
File "/ssd1/rickzhou/mlc-llm/python/mlc_llm/cli/gen_config.py", line 95, in main
gen_config(
File "/ssd1/rickzhou/mlc-llm/python/mlc_llm/interface/gen_config.py", line 214, in gen_config
mlc_chat_config.tokenizer_info = asdict(Tokenizer.detect_tokenizer_info(str(output)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/ssd1/rickzhou/mlc-llm/python/mlc_llm/tokenizer.py", line 114, in detect_tokenizer_info
return TokenizerInfo.from_json(_ffi_api.DetectTokenizerInfo(tokenizer_path)) # type: ignore # pylint: disable=no-member
^^^^^^^^^^^^^^^^^^^^^^^^^^^^
AttributeError: module 'mlc_llm._ffi_api' has no attribute 'DetectTokenizerInfo'
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd1/rickzhou/models/Phi-3-mini-4k-instruct --quantization q0f32 --conv-template phi-3 --output /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC
[2024-05-27 03:04:28] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/config.json
[2024-05-27 03:04:28] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-27 03:04:28] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-27 03:04:28] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
[2024-05-27 03:04:28] INFO config.py:106: Overriding max_batch_size from 1 to 80
[2024-05-27 03:04:28] INFO gen_config.py:142: [generation_config.json] Setting bos_token_id: 1
[2024-05-27 03:04:28] INFO gen_config.py:142: [generation_config.json] Setting eos_token_id: [32000, 32001, 32007]
[2024-05-27 03:04:28] INFO gen_config.py:142: [generation_config.json] Setting pad_token_id: 32000
[2024-05-27 03:04:28] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/tokenizer.model. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/tokenizer.model
[2024-05-27 03:04:28] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/tokenizer.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/tokenizer.json
[2024-05-27 03:04:28] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/vocab.json
[2024-05-27 03:04:28] INFO gen_config.py:156: Not found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/merges.txt
[2024-05-27 03:04:28] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/added_tokens.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/added_tokens.json
[2024-05-27 03:04:28] INFO gen_config.py:154: Found tokenizer config: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/tokenizer_config.json. Copying to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/tokenizer_config.json
[2024-05-27 03:04:28] INFO gen_config.py:215: Detected tokenizer info: {'token_postproc_method': 'byte_fallback', 'prepend_space_in_encode': True, 'strip_space_in_decode': True}
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting temperature: 1.0
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting presence_penalty: 0.0
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting frequency_penalty: 0.0
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting repetition_penalty: 1.0
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting top_p: 1.0
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting mean_gen_len: 128
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting max_gen_len: 512
[2024-05-27 03:04:28] INFO gen_config.py:31: [System default] Setting shift_fill_factor: 0.3
/home/rickzhou/miniconda3/envs/mlc/lib/python3.11/site-packages/pydantic/main.py:347: UserWarning: Pydantic serializer warnings:
Expected `int` but got `list` - serialized value may not be as expected
return self.__pydantic_serializer__.to_python(
[2024-05-27 03:04:28] INFO gen_config.py:222: Dumping configuration file to: /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/mlc-chat-config.json
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd1/rickzhou/models/Phi-3-mini-4k-instruct --quantization q0f32 --source-format auto --output /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC
[2024-05-27 03:04:29] INFO auto_config.py:115: Found model configuration: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/config.json
[2024-05-27 03:04:30] INFO auto_device.py:79: Found device: cuda:0
[2024-05-27 03:04:30] INFO auto_device.py:79: Found device: cuda:1
[2024-05-27 03:04:31] INFO auto_device.py:88: Not found device: rocm:0
[2024-05-27 03:04:32] INFO auto_device.py:88: Not found device: metal:0
[2024-05-27 03:04:34] INFO auto_device.py:79: Found device: vulkan:0
[2024-05-27 03:04:34] INFO auto_device.py:79: Found device: vulkan:1
[2024-05-27 03:04:34] INFO auto_device.py:79: Found device: vulkan:2
[2024-05-27 03:04:35] INFO auto_device.py:88: Not found device: opencl:0
[2024-05-27 03:04:35] INFO auto_device.py:35: Using device: cuda:0
[2024-05-27 03:04:35] INFO auto_weight.py:70: Finding weights in: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct
[2024-05-27 03:04:35] INFO auto_weight.py:136: Not found Huggingface PyTorch
[2024-05-27 03:04:35] INFO auto_weight.py:143: Found source weight format: huggingface-safetensor. Source configuration: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/model.safetensors.index.json
[2024-05-27 03:04:35] INFO auto_weight.py:106: Using source weight configuration: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/model.safetensors.index.json. Use `--source` to override.
[2024-05-27 03:04:35] INFO auto_weight.py:110: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-05-27 03:04:35] INFO auto_config.py:153: Found model type: phi3. Use `--model-type` to override.
[2024-05-27 03:04:35] INFO phi3_model.py:53: context_window_size not found in config.json. Falling back to max_position_embeddings (4096)
[2024-05-27 03:04:35] INFO phi3_model.py:68: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/config.json
--quantization NoQuantize(name='q0f32', kind='no-quant', model_dtype='float32')
--model-type phi3
--device cuda:0
--source /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/model.safetensors.index.json
--source-format huggingface-safetensor
--output /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC
Start storing to cache /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC
0%| | 0/195 [00:00<?, ?it/s] [2024-05-27 03:04:37] INFO huggingface_loader.py:184: Loading HF parameters from: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/model-00002-of-00002.safetensors
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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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49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 95/195 [00:38<00:25, 3.85it/s] [2024-05-27 03:05:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.12.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
49%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 95/195 [00:38<00:25, 3.85it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 97/195 [00:38<00:17, 5.48it/s] [2024-05-27 03:05:15] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.12.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 97/195 [00:38<00:17, 5.48it/s] 50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 98/195 [00:39<00:20, 4.81it/s] [2024-05-27 03:05:16] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.13.ln.weight", shape: (3072,), dtype: float32
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 98/195 [00:39<00:20, 4.81it/s] [2024-05-27 03:05:16] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.13.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
50%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 98/195 [00:39<00:20, 4.81it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 100/195 [00:39<00:17, 5.50it/s] [2024-05-27 03:05:16] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.13.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 100/195 [00:39<00:17, 5.50it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/195 [00:39<00:24, 3.90it/s] [2024-05-27 03:05:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.13.post_attention_layernorm.weight", shape: (3072,), dtype: float32
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/195 [00:39<00:24, 3.90it/s] [2024-05-27 03:05:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.13.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 101/195 [00:39<00:24, 3.90it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 103/195 [00:40<00:16, 5.53it/s] [2024-05-27 03:05:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.13.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 103/195 [00:40<00:16, 5.53it/s] 53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 104/195 [00:40<00:18, 4.84it/s] [2024-05-27 03:05:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.14.ln.weight", shape: (3072,), dtype: float32
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 104/195 [00:40<00:18, 4.84it/s] [2024-05-27 03:05:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.14.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
53%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 104/195 [00:40<00:18, 4.84it/s] 54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 106/195 [00:40<00:16, 5.53it/s] [2024-05-27 03:05:17] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.14.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
54%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 106/195 [00:40<00:16, 5.53it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 107/195 [00:41<00:22, 3.91it/s] [2024-05-27 03:05:18] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.14.post_attention_layernorm.weight", shape: (3072,), dtype: float32
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 107/195 [00:41<00:22, 3.91it/s] [2024-05-27 03:05:18] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.14.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 107/195 [00:41<00:22, 3.91it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 109/195 [00:41<00:15, 5.55it/s] [2024-05-27 03:05:18] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.14.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 109/195 [00:41<00:15, 5.55it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 110/195 [00:41<00:17, 4.84it/s] [2024-05-27 03:05:18] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.15.ln.weight", shape: (3072,), dtype: float32
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 110/195 [00:41<00:17, 4.84it/s] [2024-05-27 03:05:18] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.15.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 110/195 [00:41<00:17, 4.84it/s] 57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 112/195 [00:41<00:15, 5.53it/s] [2024-05-27 03:05:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.15.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
57%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 112/195 [00:41<00:15, 5.53it/s] 58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 113/195 [00:42<00:20, 3.91it/s] [2024-05-27 03:05:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.15.post_attention_layernorm.weight", shape: (3072,), dtype: float32
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 113/195 [00:42<00:20, 3.91it/s] [2024-05-27 03:05:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.15.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
58%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 113/195 [00:42<00:20, 3.91it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 115/195 [00:42<00:14, 5.55it/s] [2024-05-27 03:05:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.15.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 115/195 [00:42<00:14, 5.55it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 116/195 [00:42<00:16, 4.84it/s] [2024-05-27 03:05:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.16.ln.weight", shape: (3072,), dtype: float32
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 116/195 [00:42<00:16, 4.84it/s] [2024-05-27 03:05:19] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.16.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 116/195 [00:42<00:16, 4.84it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 118/195 [00:43<00:13, 5.51it/s] [2024-05-27 03:05:20] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.16.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 118/195 [00:43<00:13, 5.51it/s] 61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 119/195 [00:43<00:19, 3.89it/s] [2024-05-27 03:05:20] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.16.post_attention_layernorm.weight", shape: (3072,), dtype: float32
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 119/195 [00:43<00:19, 3.89it/s] [2024-05-27 03:05:20] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.16.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
61%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 119/195 [00:43<00:19, 3.89it/s] 62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 121/195 [00:43<00:13, 5.53it/s] [2024-05-27 03:05:20] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.16.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
62%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 121/195 [00:43<00:13, 5.53it/s] 63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 122/195 [00:44<00:15, 4.83it/s] [2024-05-27 03:05:21] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.17.ln.weight", shape: (3072,), dtype: float32
63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 122/195 [00:44<00:15, 4.83it/s] [2024-05-27 03:05:21] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.17.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
63%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 122/195 [00:44<00:15, 4.83it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 124/195 [00:44<00:12, 5.53it/s] [2024-05-27 03:05:21] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.17.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 124/195 [00:44<00:12, 5.53it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 125/195 [00:44<00:17, 3.91it/s] [2024-05-27 03:05:21] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.17.post_attention_layernorm.weight", shape: (3072,), dtype: float32
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 125/195 [00:44<00:17, 3.91it/s] [2024-05-27 03:05:22] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.17.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 125/195 [00:44<00:17, 3.91it/s] 65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 127/195 [00:44<00:12, 5.54it/s] [2024-05-27 03:05:22] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.17.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
65%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 127/195 [00:45<00:12, 5.54it/s] 66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 128/195 [00:45<00:13, 4.82it/s] [2024-05-27 03:05:22] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.18.ln.weight", shape: (3072,), dtype: float32
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 128/195 [00:45<00:13, 4.82it/s] [2024-05-27 03:05:22] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.18.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
66%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 128/195 [00:45<00:13, 4.82it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 130/195 [00:45<00:11, 5.51it/s] [2024-05-27 03:05:22] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.18.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 130/195 [00:45<00:11, 5.51it/s] 67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 131/195 [00:46<00:16, 3.91it/s] [2024-05-27 03:05:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.18.post_attention_layernorm.weight", shape: (3072,), dtype: float32
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 131/195 [00:46<00:16, 3.91it/s] [2024-05-27 03:05:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.18.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
67%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 131/195 [00:46<00:16, 3.91it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 133/195 [00:46<00:11, 5.55it/s] [2024-05-27 03:05:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.18.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 133/195 [00:46<00:11, 5.55it/s] 69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/195 [00:46<00:12, 4.85it/s] [2024-05-27 03:05:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.19.ln.weight", shape: (3072,), dtype: float32
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/195 [00:46<00:12, 4.85it/s] [2024-05-27 03:05:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.19.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
69%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 134/195 [00:46<00:12, 4.85it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 136/195 [00:46<00:10, 5.53it/s] [2024-05-27 03:05:23] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.19.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 136/195 [00:46<00:10, 5.53it/s] 70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 137/195 [00:47<00:14, 3.92it/s] [2024-05-27 03:05:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.19.post_attention_layernorm.weight", shape: (3072,), dtype: float32
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 137/195 [00:47<00:14, 3.92it/s] [2024-05-27 03:05:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.19.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
70%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 137/195 [00:47<00:14, 3.92it/s] 71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/195 [00:47<00:10, 5.56it/s] [2024-05-27 03:05:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.19.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
71%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 139/195 [00:47<00:10, 5.56it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/195 [00:47<00:11, 4.85it/s] [2024-05-27 03:05:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.2.ln.weight", shape: (3072,), dtype: float32
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/195 [00:47<00:11, 4.85it/s] [2024-05-27 03:05:24] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.2.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 140/195 [00:47<00:11, 4.85it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 142/195 [00:48<00:09, 5.54it/s] [2024-05-27 03:05:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.2.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 142/195 [00:48<00:09, 5.54it/s] 73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 143/195 [00:48<00:13, 3.92it/s] [2024-05-27 03:05:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.2.post_attention_layernorm.weight", shape: (3072,), dtype: float32
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 143/195 [00:48<00:13, 3.92it/s] [2024-05-27 03:05:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.2.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
73%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 143/195 [00:48<00:13, 3.92it/s] 74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 145/195 [00:48<00:09, 5.55it/s] [2024-05-27 03:05:25] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.2.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
74%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 145/195 [00:48<00:09, 5.55it/s] 75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 146/195 [00:48<00:10, 4.84it/s] [2024-05-27 03:05:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.20.ln.weight", shape: (3072,), dtype: float32
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 146/195 [00:48<00:10, 4.84it/s] [2024-05-27 03:05:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.20.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
75%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 146/195 [00:48<00:10, 4.84it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 148/195 [00:49<00:08, 5.51it/s] [2024-05-27 03:05:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.20.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 148/195 [00:49<00:08, 5.51it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 149/195 [00:49<00:11, 3.88it/s] [2024-05-27 03:05:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.20.post_attention_layernorm.weight", shape: (3072,), dtype: float32
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 149/195 [00:49<00:11, 3.88it/s] [2024-05-27 03:05:26] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.20.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 149/195 [00:49<00:11, 3.88it/s] 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 151/195 [00:49<00:07, 5.51it/s] [2024-05-27 03:05:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.20.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
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78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 153/195 [00:50<00:07, 5.45it/s] [2024-05-27 03:05:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.3.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32
78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 153/195 [00:50<00:07, 5.45it/s] 79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 155/195 [00:50<00:06, 6.01it/s] [2024-05-27 03:05:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.3.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
79%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 155/195 [00:50<00:06, 6.01it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/195 [00:51<00:09, 4.02it/s] [2024-05-27 03:05:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.3.post_attention_layernorm.weight", shape: (3072,), dtype: float32
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80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 156/195 [00:51<00:09, 4.02it/s] 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 158/195 [00:51<00:06, 5.75it/s] [2024-05-27 03:05:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.3.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
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82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [00:51<00:07, 4.95it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/195 [00:51<00:06, 5.60it/s] [2024-05-27 03:05:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.4.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 161/195 [00:51<00:06, 5.60it/s] 83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [00:52<00:08, 3.89it/s] [2024-05-27 03:05:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.4.post_attention_layernorm.weight", shape: (3072,), dtype: float32
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83%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 162/195 [00:52<00:08, 3.89it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/195 [00:52<00:05, 5.54it/s] [2024-05-27 03:05:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.4.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
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86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [00:53<00:07, 3.85it/s] 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/195 [00:53<00:04, 5.47it/s] [2024-05-27 03:05:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.5.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32
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88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [00:54<00:05, 4.80it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/195 [00:54<00:03, 5.51it/s] [2024-05-27 03:05:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.6.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32
89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 173/195 [00:54<00:03, 5.51it/s] 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [00:54<00:05, 3.92it/s] [2024-05-27 03:05:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.6.post_attention_layernorm.weight", shape: (3072,), dtype: float32
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[2024-05-27 03:05:36] INFO huggingface_loader.py:196: Unloading HF weight file: /ssd1/rickzhou/models/Phi-3-mini-4k-instruct/model-00001-of-00002.safetensors
[2024-05-27 03:05:36] INFO stats.py:76: Time usage: HF loading: 16.976 sec; Pre-quantization mapping: 1.975 sec; Quantization: 0.000 sec
[2024-05-27 03:05:36] INFO stats.py:90: RAM usage: Peak RAM: 9.262 GB. Total bytes loaded from disk: 14.235 GB
[2024-05-27 03:05:36] INFO convert_weight.py:155: Parameter size after quantization: 14.235 GB
[2024-05-27 03:05:36] INFO convert_weight.py:160: Total parameters: 3,821,079,552
[2024-05-27 03:05:36] INFO convert_weight.py:161: Bits per parameter: 32.000
[2024-05-27 03:05:36] INFO convert_weight.py:166: Saved to directory: /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC
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Also saved a bf16 record to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/ndarray-cache-b16.json