riczhou's picture
Initial commit
586caa8 verified
raw
history blame
118 kB
/opt/conda/envs/py310/bin/python -m mlc_llm gen_config /models/Qwen2-0.5B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
[2024-06-06 23:38:00] INFO auto_config.py:116: Found model configuration: /models/Qwen2-0.5B-Instruct/config.json
[2024-06-06 23:38:00] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-06 23:38:00] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 23:38:00] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
[2024-06-06 23:38:00] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643
[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643
[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1
[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting temperature: 0.7
[2024-06-06 23:38:00] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8
[2024-06-06 23:38:00] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.model
[2024-06-06 23:38:00] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer.json
[2024-06-06 23:38:00] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/vocab.json
[2024-06-06 23:38:00] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/merges.txt
[2024-06-06 23:38:00] INFO gen_config.py:157: Not found tokenizer config: /models/Qwen2-0.5B-Instruct/added_tokens.json
[2024-06-06 23:38:00] INFO gen_config.py:155: Found tokenizer config: /models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer_config.json
[2024-06-06 23:38:01] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-06 23:38:01] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-06 23:38:01] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-06 23:38:01] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/mlc-chat-config.json
/opt/conda/envs/py310/bin/python -m mlc_llm convert_weight /models/Qwen2-0.5B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
[2024-06-06 23:38:02] INFO auto_config.py:116: Found model configuration: /models/Qwen2-0.5B-Instruct/config.json
[2024-06-06 23:38:04] INFO auto_device.py:79: Found device: cuda:0
[2024-06-06 23:38:05] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-06 23:38:07] INFO auto_device.py:88: Not found device: metal:0
[2024-06-06 23:38:08] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-06 23:38:08] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-06 23:38:08] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-06 23:38:08] INFO auto_device.py:79: Found device: vulkan:3
[2024-06-06 23:38:10] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-06 23:38:10] INFO auto_device.py:35: Using device: cuda:0
[2024-06-06 23:38:10] INFO auto_weight.py:71: Finding weights in: /models/Qwen2-0.5B-Instruct
[2024-06-06 23:38:10] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-06 23:38:10] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /models/Qwen2-0.5B-Instruct/model.safetensors.index.json
[2024-06-06 23:38:10] INFO auto_weight.py:107: Using source weight configuration: /models/Qwen2-0.5B-Instruct/model.safetensors.index.json. Use `--source` to override.
[2024-06-06 23:38:10] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-06 23:38:10] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-06 23:38:10] INFO qwen2_model.py:49: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 23:38:10] INFO qwen2_model.py:66: prefill_chunk_size defaults to 2048
Traceback (most recent call last):
File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 196, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/opt/conda/envs/py310/lib/python3.10/runpy.py", line 86, in _run_code
exec(code, run_globals)
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 64, in <module>
main()
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/__main__.py", line 37, in main
cli.main(sys.argv[2:])
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/cli/convert_weight.py", line 88, in main
convert_weight(
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 181, in convert_weight
_convert_args(args)
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 145, in _convert_args
tvmjs.dump_ndarray_cache(
File "/opt/conda/envs/py310/lib/python3.10/site-packages/tvm/contrib/tvmjs.py", line 272, in dump_ndarray_cache
for k, origin_v in param_generator:
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/interface/convert_weight.py", line 122, in _param_generator
loader = LOADER[args.source_format](
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/huggingface_loader.py", line 99, in __init__
check_parameter_usage(extern_param_map, set(self.torch_to_path.keys()))
File "/opt/conda/envs/py310/lib/python3.10/site-packages/mlc_llm/loader/utils.py", line 33, in check_parameter_usage
raise ValueError(
ValueError: The following extern parameters do not exist in the weight files:
lm_head.weight
Weight conversion with arguments:
--config /models/Qwen2-0.5B-Instruct/config.json
--quantization NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
--model-type qwen2
--device cuda:0
--source /models/Qwen2-0.5B-Instruct/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
[2024-06-06 22:33:44] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
[2024-06-06 22:33:44] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-06 22:33:44] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 22:33:44] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048
[2024-06-06 22:33:44] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643
[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643
[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1
[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting temperature: 0.7
[2024-06-06 22:33:44] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8
[2024-06-06 22:33:44] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model
[2024-06-06 22:33:44] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer.json
[2024-06-06 22:33:44] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/vocab.json
[2024-06-06 22:33:44] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/merges.txt
[2024-06-06 22:33:44] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json
[2024-06-06 22:33:44] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer_config.json
[2024-06-06 22:33:44] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-06 22:33:44] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-06 22:33:44] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-06 22:33:44] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/mlc-chat-config.json
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
[2024-06-06 22:33:45] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
[2024-06-06 22:33:46] INFO auto_device.py:79: Found device: cuda:0
[2024-06-06 22:33:46] INFO auto_device.py:79: Found device: cuda:1
[2024-06-06 22:33:47] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-06 22:33:48] INFO auto_device.py:88: Not found device: metal:0
[2024-06-06 22:33:50] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-06 22:33:50] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-06 22:33:50] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-06 22:33:51] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-06 22:33:51] INFO auto_device.py:35: Using device: cuda:0
[2024-06-06 22:33:51] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct
[2024-06-06 22:33:51] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-06 22:33:51] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json
[2024-06-06 22:33:51] INFO auto_weight.py:107: Using source weight configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json. Use `--source` to override.
[2024-06-06 22:33:51] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-06 22:33:51] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-06 22:33:51] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 22:33:51] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /ssd2/models/Qwen2-0.5B-Instruct/config.json
--quantization NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
--model-type qwen2
--device cuda:0
--source /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
0%| | 0/170 [00:00<?, ?it/s] [2024-06-06 22:33:52] INFO huggingface_loader.py:185: Loading HF parameters from: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
0%| | 0/170 [00:00<?, ?it/s] [2024-06-06 22:33:54] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.embed_tokens.weight", shape: (151936, 896), dtype: float16
0%| | 0/170 [00:01<?, ?it/s] 1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (896,), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (896,), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.bias", shape: (1152,), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
1%| | 1/170 [00:02<07:29, 2.66s/it] 5%|▍ | 8/170 [00:02<00:41, 3.92it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (896,), dtype: float16
5%|▍ | 8/170 [00:02<00:41, 3.92it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
5%|▍ | 8/170 [00:02<00:41, 3.92it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
5%|▍ | 8/170 [00:02<00:41, 3.92it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (896,), dtype: float16
5%|▍ | 8/170 [00:02<00:41, 3.92it/s] 7%|β–‹ | 12/170 [00:02<00:25, 6.25it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.bias", shape: (1152,), dtype: float16
7%|β–‹ | 12/170 [00:02<00:25, 6.25it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
7%|β–‹ | 12/170 [00:02<00:25, 6.25it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
7%|β–‹ | 12/170 [00:02<00:25, 6.25it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.input_layernorm.weight", shape: (896,), dtype: float16
7%|β–‹ | 12/170 [00:02<00:25, 6.25it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
7%|β–‹ | 12/170 [00:02<00:25, 6.25it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
7%|β–‹ | 12/170 [00:03<00:25, 6.25it/s] 11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (896,), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.bias", shape: (1152,), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (896,), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:55] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
11%|β–ˆ | 18/170 [00:03<00:14, 10.65it/s] 15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.post_attention_layernorm.weight", shape: (896,), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.self_attn.c_attn.bias", shape: (1152,), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.input_layernorm.weight", shape: (896,), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
15%|β–ˆβ– | 25/170 [00:03<00:08, 16.41it/s] 19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.post_attention_layernorm.weight", shape: (896,), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.self_attn.c_attn.bias", shape: (1152,), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.input_layernorm.weight", shape: (896,), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
19%|β–ˆβ–‰ | 32/170 [00:03<00:06, 22.31it/s] 23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.post_attention_layernorm.weight", shape: (896,), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.self_attn.c_attn.bias", shape: (1152,), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.input_layernorm.weight", shape: (896,), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
23%|β–ˆβ–ˆβ–Ž | 39/170 [00:03<00:04, 27.96it/s] 27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.post_attention_layernorm.weight", shape: (896,), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.self_attn.c_attn.bias", shape: (1152,), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.input_layernorm.weight", shape: (896,), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
27%|β–ˆβ–ˆβ–‹ | 46/170 [00:03<00:03, 33.04it/s] 31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.post_attention_layernorm.weight", shape: (896,), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.c_attn.bias", shape: (1152,), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.input_layernorm.weight", shape: (896,), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 53/170 [00:03<00:03, 37.36it/s] 35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.post_attention_layernorm.weight", shape: (896,), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.self_attn.c_attn.bias", shape: (1152,), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.input_layernorm.weight", shape: (896,), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ–Œ | 60/170 [00:03<00:02, 40.84it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:03<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.post_attention_layernorm.weight", shape: (896,), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:03<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.c_attn.bias", shape: (1152,), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:03<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:03<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:03<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.input_layernorm.weight", shape: (896,), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:03<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:04<00:02, 43.61it/s] [2024-06-06 22:33:56] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 67/170 [00:04<00:02, 43.61it/s] 44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.post_attention_layernorm.weight", shape: (896,), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.c_attn.bias", shape: (1152,), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.input_layernorm.weight", shape: (896,), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
44%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 74/170 [00:04<00:02, 45.67it/s] 48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.post_attention_layernorm.weight", shape: (896,), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.c_attn.bias", shape: (1152,), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.input_layernorm.weight", shape: (896,), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
48%|β–ˆβ–ˆβ–ˆβ–ˆβ–Š | 81/170 [00:04<00:01, 47.16it/s] 52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.post_attention_layernorm.weight", shape: (896,), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.c_attn.bias", shape: (1152,), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.input_layernorm.weight", shape: (896,), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
52%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 88/170 [00:04<00:01, 48.31it/s] 56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.post_attention_layernorm.weight", shape: (896,), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.c_attn.bias", shape: (1152,), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.input_layernorm.weight", shape: (896,), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
56%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 95/170 [00:04<00:01, 49.15it/s] 60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.weight", shape: (896,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.c_attn.bias", shape: (1152,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.input_layernorm.weight", shape: (896,), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
60%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 102/170 [00:04<00:01, 49.67it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.weight", shape: (896,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.c_attn.bias", shape: (1152,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (896,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 109/170 [00:04<00:01, 49.81it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (896,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.c_attn.bias", shape: (1152,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.input_layernorm.weight", shape: (896,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:04<00:01, 52.17it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:57] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.weight", shape: (896,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.c_attn.bias", shape: (1152,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.input_layernorm.weight", shape: (896,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:05<00:00, 49.70it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.weight", shape: (896,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.c_attn.bias", shape: (1152,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.input_layernorm.weight", shape: (896,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:05<00:00, 48.17it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.weight", shape: (896,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.c_attn.bias", shape: (1152,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.input_layernorm.weight", shape: (896,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:05<00:00, 48.17it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.weight", shape: (896,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.c_attn.bias", shape: (1152,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.input_layernorm.weight", shape: (896,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:05<00:00, 48.38it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.post_attention_layernorm.weight", shape: (896,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.c_attn.bias", shape: (1152,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.input_layernorm.weight", shape: (896,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:05<00:00, 48.74it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.post_attention_layernorm.weight", shape: (896,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.c_attn.bias", shape: (1152,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.input_layernorm.weight", shape: (896,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:05<00:00, 49.31it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.post_attention_layernorm.weight", shape: (896,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.c_attn.bias", shape: (1152,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] [2024-06-06 22:33:58] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.norm.weight", shape: (896,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:05<00:00, 48.46it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 170/170 [00:05<00:00, 28.35it/s]
[2024-06-06 22:33:58] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
[2024-06-06 22:33:59] INFO stats.py:77: Time usage: HF loading: 1.531 sec; Pre-quantization mapping: 1.826 sec; Quantization: 0.000 sec
[2024-06-06 22:33:59] INFO stats.py:91: RAM usage: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB
[2024-06-06 22:33:59] INFO convert_weight.py:155: Parameter size after quantization: 0.920 GB
[2024-06-06 22:33:59] INFO convert_weight.py:160: Total parameters: 494,032,768
[2024-06-06 22:33:59] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-06 22:33:59] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/ndarray-cache.json
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm gen_config /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --conv-template chatml --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
[2024-06-06 22:36:13] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
[2024-06-06 22:36:13] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-06 22:36:13] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 22:36:13] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048
[2024-06-06 22:36:13] INFO config.py:107: Overriding max_batch_size from 1 to 80
[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting bos_token_id: 151643
[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting pad_token_id: 151643
[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting eos_token_id: [151645, 151643]
[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting repetition_penalty: 1.1
[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting temperature: 0.7
[2024-06-06 22:36:13] INFO gen_config.py:143: [generation_config.json] Setting top_p: 0.8
[2024-06-06 22:36:13] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.model
[2024-06-06 22:36:13] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer.json
[2024-06-06 22:36:13] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/vocab.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/vocab.json
[2024-06-06 22:36:13] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/merges.txt. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/merges.txt
[2024-06-06 22:36:13] INFO gen_config.py:157: Not found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/added_tokens.json
[2024-06-06 22:36:13] INFO gen_config.py:155: Found tokenizer config: /ssd2/models/Qwen2-0.5B-Instruct/tokenizer_config.json. Copying to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/tokenizer_config.json
[2024-06-06 22:36:13] INFO gen_config.py:216: Detected tokenizer info: {'token_postproc_method': 'byte_level', 'prepend_space_in_encode': False, 'strip_space_in_decode': False}
[2024-06-06 22:36:13] INFO gen_config.py:32: [System default] Setting presence_penalty: 0.0
[2024-06-06 22:36:13] INFO gen_config.py:32: [System default] Setting frequency_penalty: 0.0
[2024-06-06 22:36:13] INFO gen_config.py:223: Dumping configuration file to: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/mlc-chat-config.json
/home/rickzhou/miniconda3/envs/mlc/bin/python -m mlc_llm convert_weight /ssd2/models/Qwen2-0.5B-Instruct --quantization q0f16 --output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
[2024-06-06 22:36:14] INFO auto_config.py:116: Found model configuration: /ssd2/models/Qwen2-0.5B-Instruct/config.json
[2024-06-06 22:36:15] INFO auto_device.py:79: Found device: cuda:0
[2024-06-06 22:36:15] INFO auto_device.py:79: Found device: cuda:1
[2024-06-06 22:36:16] INFO auto_device.py:88: Not found device: rocm:0
[2024-06-06 22:36:18] INFO auto_device.py:88: Not found device: metal:0
[2024-06-06 22:36:19] INFO auto_device.py:79: Found device: vulkan:0
[2024-06-06 22:36:19] INFO auto_device.py:79: Found device: vulkan:1
[2024-06-06 22:36:19] INFO auto_device.py:79: Found device: vulkan:2
[2024-06-06 22:36:20] INFO auto_device.py:88: Not found device: opencl:0
[2024-06-06 22:36:20] INFO auto_device.py:35: Using device: cuda:0
[2024-06-06 22:36:20] INFO auto_weight.py:71: Finding weights in: /ssd2/models/Qwen2-0.5B-Instruct
[2024-06-06 22:36:20] INFO auto_weight.py:137: Not found Huggingface PyTorch
[2024-06-06 22:36:20] INFO auto_weight.py:144: Found source weight format: huggingface-safetensor. Source configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json
[2024-06-06 22:36:20] INFO auto_weight.py:107: Using source weight configuration: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json. Use `--source` to override.
[2024-06-06 22:36:20] INFO auto_weight.py:111: Using source weight format: huggingface-safetensor. Use `--source-format` to override.
[2024-06-06 22:36:20] INFO auto_config.py:154: Found model type: qwen2. Use `--model-type` to override.
[2024-06-06 22:36:20] INFO qwen2_model.py:50: context_window_size not found in config.json. Falling back to max_position_embeddings (32768)
[2024-06-06 22:36:20] INFO qwen2_model.py:67: prefill_chunk_size defaults to 2048
Weight conversion with arguments:
--config /ssd2/models/Qwen2-0.5B-Instruct/config.json
--quantization NoQuantize(name='q0f16', kind='no-quant', model_dtype='float16')
--model-type qwen2
--device cuda:0
--source /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors.index.json
--source-format huggingface-safetensor
--output /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
Start storing to cache /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
0%| | 0/170 [00:00<?, ?it/s] [2024-06-06 22:36:22] INFO huggingface_loader.py:185: Loading HF parameters from: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
0%| | 0/170 [00:00<?, ?it/s] [2024-06-06 22:36:24] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.embed_tokens.weight", shape: (151936, 896), dtype: float16
0%| | 0/170 [00:01<?, ?it/s] 1%| | 1/170 [00:03<09:00, 3.20s/it] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.input_layernorm.weight", shape: (896,), dtype: float16
1%| | 1/170 [00:03<09:00, 3.20s/it] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
1%| | 1/170 [00:03<09:00, 3.20s/it] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
1%| | 1/170 [00:03<09:00, 3.20s/it] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.post_attention_layernorm.weight", shape: (896,), dtype: float16
1%| | 1/170 [00:03<09:00, 3.20s/it] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.bias", shape: (1152,), dtype: float16
1%| | 1/170 [00:03<09:00, 3.20s/it] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
1%| | 1/170 [00:03<09:00, 3.20s/it] 4%|▍ | 7/170 [00:03<00:56, 2.86it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.0.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
4%|▍ | 7/170 [00:03<00:56, 2.86it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.input_layernorm.weight", shape: (896,), dtype: float16
4%|▍ | 7/170 [00:03<00:56, 2.86it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
4%|▍ | 7/170 [00:03<00:56, 2.86it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
4%|▍ | 7/170 [00:03<00:56, 2.86it/s] 6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.post_attention_layernorm.weight", shape: (896,), dtype: float16
6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.bias", shape: (1152,), dtype: float16
6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.1.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.input_layernorm.weight", shape: (896,), dtype: float16
6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
6%|β–‹ | 11/170 [00:03<00:33, 4.74it/s] 10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.post_attention_layernorm.weight", shape: (896,), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.bias", shape: (1152,), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.10.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.input_layernorm.weight", shape: (896,), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
10%|β–ˆ | 17/170 [00:03<00:18, 8.41it/s] 14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.post_attention_layernorm.weight", shape: (896,), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.self_attn.c_attn.bias", shape: (1152,), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.11.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.input_layernorm.weight", shape: (896,), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] [2024-06-06 22:36:25] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
14%|β–ˆβ– | 24/170 [00:03<00:11, 12.83it/s] 18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.post_attention_layernorm.weight", shape: (896,), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.self_attn.c_attn.bias", shape: (1152,), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.12.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.input_layernorm.weight", shape: (896,), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
18%|β–ˆβ–Š | 31/170 [00:04<00:08, 17.01it/s] 22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.post_attention_layernorm.weight", shape: (896,), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.self_attn.c_attn.bias", shape: (1152,), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.13.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.input_layernorm.weight", shape: (896,), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
22%|β–ˆβ–ˆβ– | 38/170 [00:04<00:06, 20.75it/s] 26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.post_attention_layernorm.weight", shape: (896,), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.self_attn.c_attn.bias", shape: (1152,), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.14.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.input_layernorm.weight", shape: (896,), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
26%|β–ˆβ–ˆβ–‹ | 45/170 [00:04<00:05, 24.06it/s] 31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.post_attention_layernorm.weight", shape: (896,), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.c_attn.bias", shape: (1152,), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.15.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.input_layernorm.weight", shape: (896,), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
31%|β–ˆβ–ˆβ–ˆ | 52/170 [00:04<00:04, 26.61it/s] 35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.post_attention_layernorm.weight", shape: (896,), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.self_attn.c_attn.bias", shape: (1152,), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.16.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.input_layernorm.weight", shape: (896,), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] [2024-06-06 22:36:26] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
35%|β–ˆβ–ˆβ–ˆβ– | 59/170 [00:04<00:03, 28.55it/s] 39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.post_attention_layernorm.weight", shape: (896,), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.c_attn.bias", shape: (1152,), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.17.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.input_layernorm.weight", shape: (896,), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
39%|β–ˆβ–ˆβ–ˆβ–‰ | 66/170 [00:05<00:03, 30.21it/s] 43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.post_attention_layernorm.weight", shape: (896,), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.c_attn.bias", shape: (1152,), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.18.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.input_layernorm.weight", shape: (896,), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
43%|β–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 73/170 [00:05<00:03, 31.33it/s] 47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.post_attention_layernorm.weight", shape: (896,), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.c_attn.bias", shape: (1152,), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.19.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.input_layernorm.weight", shape: (896,), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
47%|β–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 80/170 [00:05<00:02, 32.19it/s] 51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.post_attention_layernorm.weight", shape: (896,), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.c_attn.bias", shape: (1152,), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.2.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.input_layernorm.weight", shape: (896,), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
51%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 87/170 [00:05<00:02, 32.91it/s] 55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.post_attention_layernorm.weight", shape: (896,), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.c_attn.bias", shape: (1152,), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.20.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.input_layernorm.weight", shape: (896,), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] [2024-06-06 22:36:27] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
55%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 94/170 [00:05<00:02, 33.17it/s] 59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.post_attention_layernorm.weight", shape: (896,), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.c_attn.bias", shape: (1152,), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.21.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.input_layernorm.weight", shape: (896,), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
59%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‰ | 101/170 [00:06<00:02, 33.49it/s] 64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.post_attention_layernorm.weight", shape: (896,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.c_attn.bias", shape: (1152,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.22.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.input_layernorm.weight", shape: (896,), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
64%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 108/170 [00:06<00:01, 33.77it/s] 68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.post_attention_layernorm.weight", shape: (896,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.c_attn.bias", shape: (1152,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.23.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.input_layernorm.weight", shape: (896,), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
68%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 115/170 [00:06<00:01, 34.18it/s] 72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.post_attention_layernorm.weight", shape: (896,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.c_attn.bias", shape: (1152,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.3.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.input_layernorm.weight", shape: (896,), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
72%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 122/170 [00:06<00:01, 33.96it/s] 76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.post_attention_layernorm.weight", shape: (896,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.c_attn.bias", shape: (1152,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.4.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:28] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.input_layernorm.weight", shape: (896,), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
76%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 129/170 [00:06<00:01, 34.08it/s] 80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.post_attention_layernorm.weight", shape: (896,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.c_attn.bias", shape: (1152,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.5.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.input_layernorm.weight", shape: (896,), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
80%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ | 136/170 [00:07<00:01, 33.99it/s] 84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.post_attention_layernorm.weight", shape: (896,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.c_attn.bias", shape: (1152,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.6.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.input_layernorm.weight", shape: (896,), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
84%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 143/170 [00:07<00:00, 33.72it/s] 88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.post_attention_layernorm.weight", shape: (896,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.c_attn.bias", shape: (1152,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.7.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.input_layernorm.weight", shape: (896,), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
88%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 150/170 [00:07<00:00, 33.88it/s] 92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.post_attention_layernorm.weight", shape: (896,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.c_attn.bias", shape: (1152,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.8.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.input_layernorm.weight", shape: (896,), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.mlp.down_proj.weight", shape: (896, 4864), dtype: float16
92%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–| 157/170 [00:07<00:00, 33.94it/s] 96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:07<00:00, 34.01it/s] [2024-06-06 22:36:29] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.mlp.gate_up_proj.weight", shape: (9728, 896), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:07<00:00, 34.01it/s] [2024-06-06 22:36:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.post_attention_layernorm.weight", shape: (896,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:07<00:00, 34.01it/s] [2024-06-06 22:36:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.c_attn.bias", shape: (1152,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:07<00:00, 34.01it/s] [2024-06-06 22:36:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.c_attn.weight", shape: (1152, 896), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:07<00:00, 34.01it/s] [2024-06-06 22:36:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.layers.9.self_attn.o_proj.weight", shape: (896, 896), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:08<00:00, 34.01it/s] [2024-06-06 22:36:30] INFO huggingface_loader.py:175: [Not quantized] Parameter: "model.norm.weight", shape: (896,), dtype: float16
96%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹| 164/170 [00:08<00:00, 34.01it/s] 100%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ| 170/170 [00:08<00:00, 21.23it/s]
[2024-06-06 22:36:30] INFO huggingface_loader.py:197: Unloading HF weight file: /ssd2/models/Qwen2-0.5B-Instruct/model.safetensors
[2024-06-06 22:36:30] INFO stats.py:77: Time usage: HF loading: 1.528 sec; Pre-quantization mapping: 1.849 sec; Quantization: 0.000 sec
[2024-06-06 22:36:30] INFO stats.py:91: RAM usage: Peak RAM: 1.840 GB. Total bytes loaded from disk: 1.840 GB
[2024-06-06 22:36:30] INFO convert_weight.py:155: Parameter size after quantization: 0.920 GB
[2024-06-06 22:36:30] INFO convert_weight.py:160: Total parameters: 494,032,768
[2024-06-06 22:36:30] INFO convert_weight.py:161: Bits per parameter: 16.000
[2024-06-06 22:36:30] INFO convert_weight.py:166: Saved to directory: /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC
All finished, 25 total shards committed, record saved to /models/mlc-delivery/hf/mlc-ai/Qwen2-0.5B-Instruct-q0f16-MLC/ndarray-cache.json