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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

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[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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[2024-05-27 03:04:43] INFO huggingface_loader.py:174: [Not quantized] Parameter: "lm_head.weight", shape: (32064, 3072), dtype: float32

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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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[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

 77%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹  | 151/195 [00:49<00:07,  5.51it/s]
 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 152/195 [00:50<00:08,  4.82it/s]
                                                 
[2024-05-27 03:05:27] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.21.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32

 78%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š  | 152/195 [00:50<00:08,  4.82it/s]
 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.ln.weight", shape: (3072,), dtype: float32

 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

 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.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32

 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

 81%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ  | 158/195 [00:51<00:06,  5.75it/s]
 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [00:51<00:07,  4.95it/s]
                                                 
[2024-05-27 03:05:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.4.ln.weight", shape: (3072,), dtype: float32

 82%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 159/195 [00:51<00:07,  4.95it/s]
                                                 
[2024-05-27 03:05:28] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.4.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32

 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

 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.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32

 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

 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 164/195 [00:52<00:05,  5.54it/s]
 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [00:52<00:06,  4.83it/s]
                                                 
[2024-05-27 03:05:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.5.ln.weight", shape: (3072,), dtype: float32

 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [00:52<00:06,  4.83it/s]
                                                 
[2024-05-27 03:05:29] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.5.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32

 85%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 165/195 [00:52<00:06,  4.83it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/195 [00:53<00:05,  5.43it/s]
                                                 
[2024-05-27 03:05:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.5.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 167/195 [00:53<00:05,  5.43it/s]
 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [00:53<00:07,  3.85it/s]
                                                 
[2024-05-27 03:05:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.5.post_attention_layernorm.weight", shape: (3072,), dtype: float32

 86%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 168/195 [00:53<00:07,  3.85it/s]
                                                 
[2024-05-27 03:05:30] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.5.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32

 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

 87%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 170/195 [00:53<00:04,  5.47it/s]
 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [00:54<00:05,  4.80it/s]
                                                 
[2024-05-27 03:05:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.6.ln.weight", shape: (3072,), dtype: float32

 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 171/195 [00:54<00:05,  4.80it/s]
                                                 
[2024-05-27 03:05:31] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.6.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32

 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

 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.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32

 89%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 174/195 [00:54<00:05,  3.92it/s]
 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/195 [00:54<00:03,  5.56it/s]
                                                 
[2024-05-27 03:05:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.6.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32

 90%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 176/195 [00:54<00:03,  5.56it/s]
 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [00:55<00:03,  4.86it/s]
                                                 
[2024-05-27 03:05:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.ln.weight", shape: (3072,), dtype: float32

 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [00:55<00:03,  4.86it/s]
                                                 
[2024-05-27 03:05:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32

 91%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 177/195 [00:55<00:03,  4.86it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 179/195 [00:55<00:02,  5.54it/s]
                                                 
[2024-05-27 03:05:32] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.mlp.gate_up_proj.weight", shape: (16384, 3072), dtype: float32

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 179/195 [00:55<00:02,  5.54it/s]
 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [00:56<00:03,  3.90it/s]
                                                 
[2024-05-27 03:05:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.post_attention_layernorm.weight", shape: (3072,), dtype: float32

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [00:56<00:03,  3.90it/s]
                                                 
[2024-05-27 03:05:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.mixer.out_proj.weight", shape: (3072, 3072), dtype: float32

 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 180/195 [00:56<00:03,  3.90it/s]
 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 182/195 [00:56<00:02,  5.54it/s]
                                                 
[2024-05-27 03:05:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.7.mixer.qkv_proj.weight", shape: (9216, 3072), dtype: float32

 93%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž| 182/195 [00:56<00:02,  5.54it/s]
 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [00:56<00:02,  4.87it/s]
                                                 
[2024-05-27 03:05:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.8.ln.weight", shape: (3072,), dtype: float32

 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [00:56<00:02,  4.87it/s]
                                                 
[2024-05-27 03:05:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.8.mlp.down_proj.weight", shape: (3072, 8192), dtype: float32

 94%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 183/195 [00:56<00:02,  4.87it/s]
 95%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 185/195 [00:56<00:01,  5.56it/s]
                                                 
[2024-05-27 03:05:33] INFO huggingface_loader.py:174: [Not quantized] Parameter: "transformer.h.8.mlp.gate_up_proj.weight", shape: (16384, 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

All finished, 130 total shards committed, record saved to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/ndarray-cache.json
Also saved a bf16 record to /ssd2/models/mlc-delivery/hf/mlc-ai/Phi-3-mini-4k-instruct-q0f32-MLC/ndarray-cache-b16.json