gatepoet
/

Qwen1.5-4B-q8f32_1-MLC

Model card Files Files and versions Community

Qwen1.5-4B-q8f32_1-MLC / logs.txt

gatepoet

Initial commit

89e9da9 verified 10 months ago

raw

history blame contribute delete

131 kB

	/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm gen_config ../dist/models/Qwen1.5-4B --quantization q8f32_1 --conv-template chatml --output /tmp/tmpvomo8uva
	[2024-03-18 19:32:31] INFO auto_config.py:115: [92mFound[0m model configuration: ../dist/models/Qwen1.5-4B/config.json
	[2024-03-18 19:32:31] INFO auto_config.py:153: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-03-18 19:32:31] INFO qwen2_model.py:46: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-03-18 19:32:31] INFO qwen2_model.py:60: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (32768)
	[2024-03-18 19:32:31] WARNING config.py:99: [91mWarning[0m: Cannot override [1mmax_batch_size[0m, because [1mQWen2Config[0m does not have this field
	[2024-03-18 19:32:31] INFO gen_config.py:133: [generation_config.json] Setting [1mbos_token_id[0m: 151643
	[2024-03-18 19:32:31] INFO gen_config.py:133: [generation_config.json] Setting [1meos_token_id[0m: 151643
	[2024-03-18 19:32:31] INFO gen_config.py:147: [91mNot found[0m tokenizer config: ../dist/models/Qwen1.5-4B/tokenizer.model
	[2024-03-18 19:32:31] INFO gen_config.py:145: [92mFound[0m tokenizer config: ../dist/models/Qwen1.5-4B/tokenizer.json. Copying to [1m/tmp/tmpvomo8uva/tokenizer.json[0m
	[2024-03-18 19:32:31] INFO gen_config.py:145: [92mFound[0m tokenizer config: ../dist/models/Qwen1.5-4B/vocab.json. Copying to [1m/tmp/tmpvomo8uva/vocab.json[0m
	[2024-03-18 19:32:31] INFO gen_config.py:145: [92mFound[0m tokenizer config: ../dist/models/Qwen1.5-4B/merges.txt. Copying to [1m/tmp/tmpvomo8uva/merges.txt[0m
	[2024-03-18 19:32:31] INFO gen_config.py:147: [91mNot found[0m tokenizer config: ../dist/models/Qwen1.5-4B/added_tokens.json
	[2024-03-18 19:32:31] INFO gen_config.py:145: [92mFound[0m tokenizer config: ../dist/models/Qwen1.5-4B/tokenizer_config.json. Copying to [1m/tmp/tmpvomo8uva/tokenizer_config.json[0m
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mpad_token_id[0m: 0
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mtemperature[0m: 0.7
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mpresence_penalty[0m: 0.0
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mfrequency_penalty[0m: 0.0
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mrepetition_penalty[0m: 1.0
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mtop_p[0m: 0.95
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mmean_gen_len[0m: 128
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mmax_gen_len[0m: 512
	[2024-03-18 19:32:31] INFO gen_config.py:75: [System default] Setting [1mshift_fill_factor[0m: 0.3
	[2024-03-18 19:32:31] INFO gen_config.py:198: Dumping configuration file to: [1m/tmp/tmpvomo8uva/mlc-chat-config.json[0m
	/home/floriadmin/miniforge3/envs/mlc/bin/python -m mlc_llm convert_weight ../dist/models/Qwen1.5-4B --quantization q8f32_1 --source-format auto --output /tmp/tmpvomo8uva
	[2024-03-18 19:32:32] INFO auto_config.py:115: [92mFound[0m model configuration: ../dist/models/Qwen1.5-4B/config.json
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:0
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:1
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:2
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:3
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:4
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:5
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:6
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:7
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:8
	[2024-03-18 19:32:33] INFO auto_device.py:76: [92mFound[0m device: cuda:9
	[2024-03-18 19:32:34] INFO auto_device.py:85: [91mNot found[0m device: rocm:0
	[2024-03-18 19:32:35] INFO auto_device.py:85: [91mNot found[0m device: metal:0
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:0
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:1
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:2
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:3
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:4
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:5
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:6
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:7
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:8
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:9
	[2024-03-18 19:32:39] INFO auto_device.py:76: [92mFound[0m device: vulkan:10
	[2024-03-18 19:32:40] INFO auto_device.py:85: [91mNot found[0m device: opencl:0
	[2024-03-18 19:32:40] INFO auto_device.py:33: Using device: [1mcuda:0[0m
	[2024-03-18 19:32:40] INFO auto_weight.py:70: Finding weights in: ../dist/models/Qwen1.5-4B
	[2024-03-18 19:32:40] INFO auto_weight.py:136: [91mNot found[0m Huggingface PyTorch
	[2024-03-18 19:32:40] INFO auto_weight.py:143: [92mFound[0m source weight format: huggingface-safetensor. Source configuration: ../dist/models/Qwen1.5-4B/model.safetensors.index.json
	[2024-03-18 19:32:40] INFO auto_weight.py:106: Using source weight configuration: [1m../dist/models/Qwen1.5-4B/model.safetensors.index.json[0m. Use `--source` to override.
	[2024-03-18 19:32:40] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-safetensor[0m. Use `--source-format` to override.
	[2024-03-18 19:32:40] INFO auto_config.py:153: [92mFound[0m model type: [1mqwen2[0m. Use `--model-type` to override.
	[2024-03-18 19:32:40] INFO qwen2_model.py:46: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (32768)
	[2024-03-18 19:32:40] INFO qwen2_model.py:60: [1mprefill_chunk_size[0m defaults to [1mcontext_window_size[0m (32768)
	[1mWeight conversion with arguments:[0m
	[1m--config[0m ../dist/models/Qwen1.5-4B/config.json
	[1m--quantization[0m GroupQuantize(name='q8f32_1', kind='group-quant', group_size=32, quantize_dtype='int8', storage_dtype='uint32', model_dtype='float32', linear_weight_layout='NK', quantize_embedding=True, quantize_final_fc=True, num_elem_per_storage=4, num_storage_per_group=8, max_int_value=127)
	[1m--model-type[0m qwen2
	[1m--device[0m cuda:0
	[1m--source[0m ../dist/models/Qwen1.5-4B/model.safetensors.index.json
	[1m--source-format[0m huggingface-safetensor
	[1m--output[0m /tmp/tmpvomo8uva
	Start storing to cache /tmp/tmpvomo8uva
	0%\| \| 0/283 [00:00<?, ?it/s] [2024-03-18 19:32:43] INFO huggingface_loader.py:182: Loading HF parameters from: ../dist/models/Qwen1.5-4B/model-00002-of-00002.safetensors
	0%\| \| 0/283 [00:00<?, ?it/s] [2024-03-18 19:32:51] INFO group_quantization.py:232: Compiling quantize function for key: ((151936, 2560), float32, cuda, axis=1, output_transpose=False)
	0%\| \| 0/283 [00:08<?, ?it/s] [2024-03-18 19:32:52] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (151936, 640), dtype: uint32
	0%\| \| 0/283 [00:09<?, ?it/s] [2024-03-18 19:32:54] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (151936, 80), dtype: float32
	0%\| \| 0/283 [00:11<?, ?it/s]/home/floriadmin/miniforge3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	setattr(self, word, getattr(machar, word).flat[0])
	/home/floriadmin/miniforge3/envs/mlc/lib/python3.11/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.
	return self._float_to_str(self.smallest_subnormal)
	0%\|▎ \| 1/283 [00:11<54:47, 11.66s/it] [2024-03-18 19:32:54] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	0%\|▎ \| 1/283 [00:11<54:47, 11.66s/it] [2024-03-18 19:32:55] INFO group_quantization.py:232: Compiling quantize function for key: ((2560, 6912), float32, cuda, axis=1, output_transpose=False)
	0%\|▎ \| 1/283 [00:11<54:47, 11.66s/it] [2024-03-18 19:32:55] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	0%\|▎ \| 1/283 [00:12<54:47, 11.66s/it] [2024-03-18 19:32:55] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	0%\|▎ \| 1/283 [00:12<54:47, 11.66s/it] 1%\|▉ \| 3/283 [00:12<15:28, 3.32s/it] [2024-03-18 19:32:56] INFO group_quantization.py:232: Compiling quantize function for key: ((13824, 2560), float32, cuda, axis=1, output_transpose=False)
	1%\|▉ \| 3/283 [00:12<15:28, 3.32s/it] [2024-03-18 19:32:56] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	1%\|▉ \| 3/283 [00:13<15:28, 3.32s/it] [2024-03-18 19:32:56] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	1%\|▉ \| 3/283 [00:13<15:28, 3.32s/it] 1%\|█▎ \| 4/283 [00:13<11:59, 2.58s/it] [2024-03-18 19:32:56] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	1%\|█▎ \| 4/283 [00:13<11:59, 2.58s/it] [2024-03-18 19:32:56] INFO group_quantization.py:232: Compiling quantize function for key: ((2560, 2560), float32, cuda, axis=1, output_transpose=False)
	1%\|█▎ \| 4/283 [00:13<11:59, 2.58s/it] [2024-03-18 19:32:57] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	1%\|█▎ \| 4/283 [00:14<11:59, 2.58s/it] [2024-03-18 19:32:57] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	1%\|█▎ \| 4/283 [00:14<11:59, 2.58s/it] 2%\|█▉ \| 6/283 [00:14<06:55, 1.50s/it] [2024-03-18 19:32:57] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	2%\|█▉ \| 6/283 [00:14<06:55, 1.50s/it] [2024-03-18 19:32:57] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	2%\|█▉ \| 6/283 [00:14<06:55, 1.50s/it] [2024-03-18 19:32:57] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	2%\|█▉ \| 6/283 [00:14<06:55, 1.50s/it] 3%\|██▌ \| 8/283 [00:14<04:17, 1.07it/s] [2024-03-18 19:32:58] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	3%\|██▌ \| 8/283 [00:15<04:17, 1.07it/s] [2024-03-18 19:32:58] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	3%\|██▌ \| 8/283 [00:15<04:17, 1.07it/s] 3%\|██▉ \| 9/283 [00:15<03:57, 1.15it/s] [2024-03-18 19:32:58] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	3%\|██▉ \| 9/283 [00:15<03:57, 1.15it/s] [2024-03-18 19:32:58] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	3%\|██▉ \| 9/283 [00:15<03:57, 1.15it/s] [2024-03-18 19:32:58] INFO group_quantization.py:232: Compiling quantize function for key: ((7680, 2560), float32, cuda, axis=1, output_transpose=False)
	3%\|██▉ \| 9/283 [00:15<03:57, 1.15it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	3%\|██▉ \| 9/283 [00:16<03:57, 1.15it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	3%\|██▉ \| 9/283 [00:16<03:57, 1.15it/s] 4%\|███▊ \| 12/283 [00:16<02:34, 1.75it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	4%\|███▊ \| 12/283 [00:16<02:34, 1.75it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	4%\|███▊ \| 12/283 [00:16<02:34, 1.75it/s] 5%\|████▏ \| 13/283 [00:16<02:12, 2.04it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	5%\|████▏ \| 13/283 [00:16<02:12, 2.04it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	5%\|████▏ \| 13/283 [00:16<02:12, 2.04it/s] [2024-03-18 19:32:59] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	5%\|████▏ \| 13/283 [00:16<02:12, 2.04it/s] 5%\|████▊ \| 15/283 [00:16<01:37, 2.74it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	5%\|████▊ \| 15/283 [00:17<01:37, 2.74it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	5%\|████▊ \| 15/283 [00:17<01:37, 2.74it/s] 6%\|█████▏ \| 16/283 [00:17<01:52, 2.36it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.22.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	6%\|█████▏ \| 16/283 [00:17<01:52, 2.36it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	6%\|█████▏ \| 16/283 [00:17<01:52, 2.36it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	6%\|█████▏ \| 16/283 [00:17<01:52, 2.36it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	6%\|█████▏ \| 16/283 [00:17<01:52, 2.36it/s] 7%\|██████ \| 19/283 [00:17<01:13, 3.58it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	7%\|██████ \| 19/283 [00:17<01:13, 3.58it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	7%\|██████ \| 19/283 [00:17<01:13, 3.58it/s] 7%\|██████▍ \| 20/283 [00:17<01:07, 3.89it/s] [2024-03-18 19:33:00] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	7%\|██████▍ \| 20/283 [00:17<01:07, 3.89it/s] [2024-03-18 19:33:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	7%\|██████▍ \| 20/283 [00:17<01:07, 3.89it/s] [2024-03-18 19:33:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	7%\|██████▍ \| 20/283 [00:18<01:07, 3.89it/s] 8%\|███████ \| 22/283 [00:18<00:56, 4.62it/s] [2024-03-18 19:33:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	8%\|███████ \| 22/283 [00:18<00:56, 4.62it/s] [2024-03-18 19:33:01] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	8%\|███████ \| 22/283 [00:18<00:56, 4.62it/s] 8%\|███████▍ \| 23/283 [00:18<01:16, 3.39it/s] [2024-03-18 19:33:01] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	8%\|███████▍ \| 23/283 [00:18<01:16, 3.39it/s] [2024-03-18 19:33:01] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.23.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	8%\|███████▍ \| 23/283 [00:18<01:16, 3.39it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	8%\|███████▍ \| 23/283 [00:18<01:16, 3.39it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	8%\|███████▍ \| 23/283 [00:18<01:16, 3.39it/s] 9%\|████████▎ \| 26/283 [00:18<00:54, 4.73it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	9%\|████████▎ \| 26/283 [00:19<00:54, 4.73it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	9%\|████████▎ \| 26/283 [00:19<00:54, 4.73it/s] 10%\|████████▋ \| 27/283 [00:19<00:51, 4.98it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.24.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	10%\|████████▋ \| 27/283 [00:19<00:51, 4.98it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	10%\|████████▋ \| 27/283 [00:19<00:51, 4.98it/s] [2024-03-18 19:33:02] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	10%\|████████▋ \| 27/283 [00:19<00:51, 4.98it/s] 10%\|█████████▎ \| 29/283 [00:19<00:45, 5.62it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	10%\|█████████▎ \| 29/283 [00:19<00:45, 5.62it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	10%\|█████████▎ \| 29/283 [00:20<00:45, 5.62it/s] 11%\|█████████▋ \| 30/283 [00:20<01:06, 3.80it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.24.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	11%\|█████████▋ \| 30/283 [00:20<01:06, 3.80it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.24.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	11%\|█████████▋ \| 30/283 [00:20<01:06, 3.80it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	11%\|█████████▋ \| 30/283 [00:20<01:06, 3.80it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	11%\|█████████▋ \| 30/283 [00:20<01:06, 3.80it/s] 12%\|██████████▌ \| 33/283 [00:20<00:48, 5.13it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	12%\|██████████▌ \| 33/283 [00:20<00:48, 5.13it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	12%\|██████████▌ \| 33/283 [00:20<00:48, 5.13it/s] 12%\|██████████▉ \| 34/283 [00:20<00:46, 5.34it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.25.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	12%\|██████████▉ \| 34/283 [00:20<00:46, 5.34it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	12%\|██████████▉ \| 34/283 [00:20<00:46, 5.34it/s] [2024-03-18 19:33:03] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	12%\|██████████▉ \| 34/283 [00:20<00:46, 5.34it/s] 13%\|███████████▌ \| 36/283 [00:20<00:41, 5.94it/s] [2024-03-18 19:33:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	13%\|███████████▌ \| 36/283 [00:21<00:41, 5.94it/s] [2024-03-18 19:33:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	13%\|███████████▌ \| 36/283 [00:21<00:41, 5.94it/s] 13%\|███████████▉ \| 37/283 [00:21<01:03, 3.86it/s] [2024-03-18 19:33:04] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.25.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	13%\|███████████▉ \| 37/283 [00:21<01:03, 3.86it/s] [2024-03-18 19:33:04] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.25.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	13%\|███████████▉ \| 37/283 [00:21<01:03, 3.86it/s] [2024-03-18 19:33:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	13%\|███████████▉ \| 37/283 [00:21<01:03, 3.86it/s] [2024-03-18 19:33:04] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	13%\|███████████▉ \| 37/283 [00:21<01:03, 3.86it/s] 14%\|████████████▊ \| 40/283 [00:21<00:46, 5.18it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	14%\|████████████▊ \| 40/283 [00:21<00:46, 5.18it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	14%\|████████████▊ \| 40/283 [00:21<00:46, 5.18it/s] 14%\|█████████████▏ \| 41/283 [00:21<00:44, 5.40it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.26.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	14%\|█████████████▏ \| 41/283 [00:21<00:44, 5.40it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	14%\|█████████████▏ \| 41/283 [00:22<00:44, 5.40it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	14%\|█████████████▏ \| 41/283 [00:22<00:44, 5.40it/s] 15%\|█████████████▊ \| 43/283 [00:22<00:39, 6.01it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	15%\|█████████████▊ \| 43/283 [00:22<00:39, 6.01it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	15%\|█████████████▊ \| 43/283 [00:22<00:39, 6.01it/s] 16%\|██████████████▏ \| 44/283 [00:22<01:00, 3.93it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.26.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	16%\|██████████████▏ \| 44/283 [00:22<01:00, 3.93it/s] [2024-03-18 19:33:05] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.26.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	16%\|██████████████▏ \| 44/283 [00:22<01:00, 3.93it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	16%\|██████████████▏ \| 44/283 [00:23<01:00, 3.93it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	16%\|██████████████▏ \| 44/283 [00:23<01:00, 3.93it/s] 17%\|███████████████ \| 47/283 [00:23<00:44, 5.25it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	17%\|███████████████ \| 47/283 [00:23<00:44, 5.25it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	17%\|███████████████ \| 47/283 [00:23<00:44, 5.25it/s] 17%\|███████████████▍ \| 48/283 [00:23<00:43, 5.43it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.27.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	17%\|███████████████▍ \| 48/283 [00:23<00:43, 5.43it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	17%\|███████████████▍ \| 48/283 [00:23<00:43, 5.43it/s] [2024-03-18 19:33:06] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	17%\|███████████████▍ \| 48/283 [00:23<00:43, 5.43it/s] 18%\|████████████████ \| 50/283 [00:23<00:38, 6.01it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	18%\|████████████████ \| 50/283 [00:23<00:38, 6.01it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	18%\|████████████████ \| 50/283 [00:24<00:38, 6.01it/s] 18%\|████████████████▍ \| 51/283 [00:24<00:58, 3.95it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.27.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	18%\|████████████████▍ \| 51/283 [00:24<00:58, 3.95it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.27.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	18%\|████████████████▍ \| 51/283 [00:24<00:58, 3.95it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	18%\|████████████████▍ \| 51/283 [00:24<00:58, 3.95it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	18%\|████████████████▍ \| 51/283 [00:24<00:58, 3.95it/s] 19%\|█████████████████▎ \| 54/283 [00:24<00:43, 5.29it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	19%\|█████████████████▎ \| 54/283 [00:24<00:43, 5.29it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	19%\|█████████████████▎ \| 54/283 [00:24<00:43, 5.29it/s] 19%\|█████████████████▋ \| 55/283 [00:24<00:41, 5.49it/s] [2024-03-18 19:33:07] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.28.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	19%\|█████████████████▋ \| 55/283 [00:24<00:41, 5.49it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	19%\|█████████████████▋ \| 55/283 [00:24<00:41, 5.49it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	19%\|█████████████████▋ \| 55/283 [00:24<00:41, 5.49it/s] 20%\|██████████████████▎ \| 57/283 [00:24<00:37, 6.05it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	20%\|██████████████████▎ \| 57/283 [00:25<00:37, 6.05it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	20%\|██████████████████▎ \| 57/283 [00:25<00:37, 6.05it/s] 20%\|██████████████████▋ \| 58/283 [00:25<00:56, 3.96it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.28.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	20%\|██████████████████▋ \| 58/283 [00:25<00:56, 3.96it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.28.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	20%\|██████████████████▋ \| 58/283 [00:25<00:56, 3.96it/s] [2024-03-18 19:33:08] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	20%\|██████████████████▋ \| 58/283 [00:25<00:56, 3.96it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	20%\|██████████████████▋ \| 58/283 [00:25<00:56, 3.96it/s] 22%\|███████████████████▌ \| 61/283 [00:25<00:41, 5.30it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	22%\|███████████████████▌ \| 61/283 [00:25<00:41, 5.30it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	22%\|███████████████████▌ \| 61/283 [00:25<00:41, 5.30it/s] 22%\|███████████████████▉ \| 62/283 [00:25<00:40, 5.51it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.29.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	22%\|███████████████████▉ \| 62/283 [00:25<00:40, 5.51it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	22%\|███████████████████▉ \| 62/283 [00:26<00:40, 5.51it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	22%\|███████████████████▉ \| 62/283 [00:26<00:40, 5.51it/s] 23%\|████████████████████▌ \| 64/283 [00:26<00:36, 6.05it/s] [2024-03-18 19:33:09] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	23%\|████████████████████▌ \| 64/283 [00:26<00:36, 6.05it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	23%\|████████████████████▌ \| 64/283 [00:26<00:36, 6.05it/s] 23%\|████████████████████▉ \| 65/283 [00:26<00:55, 3.95it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.29.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	23%\|████████████████████▉ \| 65/283 [00:26<00:55, 3.95it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.29.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	23%\|████████████████████▉ \| 65/283 [00:26<00:55, 3.95it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	23%\|████████████████████▉ \| 65/283 [00:27<00:55, 3.95it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	23%\|████████████████████▉ \| 65/283 [00:27<00:55, 3.95it/s] 24%\|█████████████████████▊ \| 68/283 [00:27<00:40, 5.29it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	24%\|█████████████████████▊ \| 68/283 [00:27<00:40, 5.29it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	24%\|█████████████████████▊ \| 68/283 [00:27<00:40, 5.29it/s] 24%\|██████████████████████▏ \| 69/283 [00:27<00:38, 5.49it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.30.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	24%\|██████████████████████▏ \| 69/283 [00:27<00:38, 5.49it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	24%\|██████████████████████▏ \| 69/283 [00:27<00:38, 5.49it/s] [2024-03-18 19:33:10] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	24%\|██████████████████████▏ \| 69/283 [00:27<00:38, 5.49it/s] 25%\|██████████████████████▊ \| 71/283 [00:27<00:35, 6.06it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	25%\|██████████████████████▊ \| 71/283 [00:28<00:35, 6.06it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	25%\|██████████████████████▊ \| 71/283 [00:28<00:35, 6.06it/s] 25%\|███████████████████████▏ \| 72/283 [00:28<00:53, 3.93it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.30.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	25%\|███████████████████████▏ \| 72/283 [00:28<00:53, 3.93it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.30.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	25%\|███████████████████████▏ \| 72/283 [00:28<00:53, 3.93it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	25%\|███████████████████████▏ \| 72/283 [00:28<00:53, 3.93it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	25%\|███████████████████████▏ \| 72/283 [00:28<00:53, 3.93it/s] 27%\|████████████████████████ \| 75/283 [00:28<00:39, 5.26it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	27%\|████████████████████████ \| 75/283 [00:28<00:39, 5.26it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	27%\|████████████████████████ \| 75/283 [00:28<00:39, 5.26it/s] 27%\|████████████████████████▍ \| 76/283 [00:28<00:37, 5.45it/s] [2024-03-18 19:33:11] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.31.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	27%\|████████████████████████▍ \| 76/283 [00:28<00:37, 5.45it/s] [2024-03-18 19:33:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	27%\|████████████████████████▍ \| 76/283 [00:28<00:37, 5.45it/s] [2024-03-18 19:33:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	27%\|████████████████████████▍ \| 76/283 [00:29<00:37, 5.45it/s] 28%\|█████████████████████████ \| 78/283 [00:29<00:34, 6.01it/s] [2024-03-18 19:33:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	28%\|█████████████████████████ \| 78/283 [00:29<00:34, 6.01it/s] [2024-03-18 19:33:12] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	28%\|█████████████████████████ \| 78/283 [00:29<00:34, 6.01it/s] 28%\|█████████████████████████▍ \| 79/283 [00:29<00:52, 3.92it/s] [2024-03-18 19:33:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.31.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	28%\|█████████████████████████▍ \| 79/283 [00:29<00:52, 3.92it/s] [2024-03-18 19:33:12] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.31.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	28%\|█████████████████████████▍ \| 79/283 [00:29<00:52, 3.92it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	28%\|█████████████████████████▍ \| 79/283 [00:29<00:52, 3.92it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	28%\|█████████████████████████▍ \| 79/283 [00:29<00:52, 3.92it/s] 29%\|██████████████████████████▎ \| 82/283 [00:29<00:38, 5.26it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	29%\|██████████████████████████▎ \| 82/283 [00:30<00:38, 5.26it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	29%\|██████████████████████████▎ \| 82/283 [00:30<00:38, 5.26it/s] 29%\|██████████████████████████▋ \| 83/283 [00:30<00:36, 5.44it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.32.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	29%\|██████████████████████████▋ \| 83/283 [00:30<00:36, 5.44it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	29%\|██████████████████████████▋ \| 83/283 [00:30<00:36, 5.44it/s] [2024-03-18 19:33:13] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	29%\|██████████████████████████▋ \| 83/283 [00:30<00:36, 5.44it/s] 30%\|███████████████████████████▎ \| 85/283 [00:30<00:33, 5.99it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	30%\|███████████████████████████▎ \| 85/283 [00:30<00:33, 5.99it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	30%\|███████████████████████████▎ \| 85/283 [00:31<00:33, 5.99it/s] 30%\|███████████████████████████▋ \| 86/283 [00:31<00:51, 3.86it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.32.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	30%\|███████████████████████████▋ \| 86/283 [00:31<00:51, 3.86it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.32.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	30%\|███████████████████████████▋ \| 86/283 [00:31<00:51, 3.86it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	30%\|███████████████████████████▋ \| 86/283 [00:31<00:51, 3.86it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	30%\|███████████████████████████▋ \| 86/283 [00:31<00:51, 3.86it/s] 31%\|████████████████████████████▌ \| 89/283 [00:31<00:37, 5.20it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	31%\|████████████████████████████▌ \| 89/283 [00:31<00:37, 5.20it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.32.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	31%\|████████████████████████████▌ \| 89/283 [00:31<00:37, 5.20it/s] 32%\|████████████████████████████▉ \| 90/283 [00:31<00:36, 5.35it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.33.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	32%\|████████████████████████████▉ \| 90/283 [00:31<00:36, 5.35it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	32%\|████████████████████████████▉ \| 90/283 [00:31<00:36, 5.35it/s] [2024-03-18 19:33:14] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	32%\|████████████████████████████▉ \| 90/283 [00:31<00:36, 5.35it/s] 33%\|█████████████████████████████▌ \| 92/283 [00:31<00:32, 5.96it/s] [2024-03-18 19:33:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	33%\|█████████████████████████████▌ \| 92/283 [00:32<00:32, 5.96it/s] [2024-03-18 19:33:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	33%\|█████████████████████████████▌ \| 92/283 [00:32<00:32, 5.96it/s] 33%\|█████████████████████████████▉ \| 93/283 [00:32<00:50, 3.78it/s] [2024-03-18 19:33:15] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.33.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	33%\|█████████████████████████████▉ \| 93/283 [00:32<00:50, 3.78it/s] [2024-03-18 19:33:15] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.33.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	33%\|█████████████████████████████▉ \| 93/283 [00:32<00:50, 3.78it/s] [2024-03-18 19:33:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	33%\|█████████████████████████████▉ \| 93/283 [00:32<00:50, 3.78it/s] [2024-03-18 19:33:15] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	33%\|█████████████████████████████▉ \| 93/283 [00:32<00:50, 3.78it/s] 34%\|██████████████████████████████▊ \| 96/283 [00:32<00:36, 5.11it/s] [2024-03-18 19:33:16] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	34%\|██████████████████████████████▊ \| 96/283 [00:32<00:36, 5.11it/s] [2024-03-18 19:33:16] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.33.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	34%\|██████████████████████████████▊ \| 96/283 [00:32<00:36, 5.11it/s] 34%\|███████████████████████████████▏ \| 97/283 [00:32<00:34, 5.34it/s] [2024-03-18 19:33:16] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.34.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	34%\|███████████████████████████████▏ \| 97/283 [00:32<00:34, 5.34it/s] [2024-03-18 19:33:16] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	34%\|███████████████████████████████▏ \| 97/283 [00:33<00:34, 5.34it/s] [2024-03-18 19:33:16] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	34%\|███████████████████████████████▏ \| 97/283 [00:33<00:34, 5.34it/s] 35%\|███████████████████████████████▊ \| 99/283 [00:33<00:31, 5.86it/s] [2024-03-18 19:33:16] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	35%\|███████████████████████████████▊ \| 99/283 [00:33<00:31, 5.86it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	35%\|███████████████████████████████▊ \| 99/283 [00:33<00:31, 5.86it/s] 35%\|███████████████████████████████▊ \| 100/283 [00:33<00:47, 3.85it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.34.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	35%\|███████████████████████████████▊ \| 100/283 [00:33<00:47, 3.85it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.34.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	35%\|███████████████████████████████▊ \| 100/283 [00:33<00:47, 3.85it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	35%\|███████████████████████████████▊ \| 100/283 [00:34<00:47, 3.85it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	35%\|███████████████████████████████▊ \| 100/283 [00:34<00:47, 3.85it/s] 36%\|████████████████████████████████▊ \| 103/283 [00:34<00:34, 5.17it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	36%\|████████████████████████████████▊ \| 103/283 [00:34<00:34, 5.17it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.34.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	36%\|████████████████████████████████▊ \| 103/283 [00:34<00:34, 5.17it/s] 37%\|█████████████████████████████████ \| 104/283 [00:34<00:33, 5.29it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.35.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	37%\|█████████████████████████████████ \| 104/283 [00:34<00:33, 5.29it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	37%\|█████████████████████████████████ \| 104/283 [00:34<00:33, 5.29it/s] [2024-03-18 19:33:17] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	37%\|█████████████████████████████████ \| 104/283 [00:34<00:33, 5.29it/s] 37%\|█████████████████████████████████▋ \| 106/283 [00:34<00:29, 5.91it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	37%\|█████████████████████████████████▋ \| 106/283 [00:35<00:29, 5.91it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	37%\|█████████████████████████████████▋ \| 106/283 [00:35<00:29, 5.91it/s] 38%\|██████████████████████████████████ \| 107/283 [00:35<00:45, 3.86it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.35.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	38%\|██████████████████████████████████ \| 107/283 [00:35<00:45, 3.86it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.35.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	38%\|██████████████████████████████████ \| 107/283 [00:35<00:45, 3.86it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	38%\|██████████████████████████████████ \| 107/283 [00:35<00:45, 3.86it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	38%\|██████████████████████████████████ \| 107/283 [00:35<00:45, 3.86it/s] 39%\|██████████████████████████████████▉ \| 110/283 [00:35<00:33, 5.17it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	39%\|██████████████████████████████████▉ \| 110/283 [00:35<00:33, 5.17it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.35.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	39%\|██████████████████████████████████▉ \| 110/283 [00:35<00:33, 5.17it/s] 39%\|███████████████████████████████████▎ \| 111/283 [00:35<00:32, 5.33it/s] [2024-03-18 19:33:18] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.36.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	39%\|███████████████████████████████████▎ \| 111/283 [00:35<00:32, 5.33it/s] [2024-03-18 19:33:19] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	39%\|███████████████████████████████████▎ \| 111/283 [00:35<00:32, 5.33it/s] [2024-03-18 19:33:19] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	39%\|███████████████████████████████████▎ \| 111/283 [00:36<00:32, 5.33it/s] 40%\|███████████████████████████████████▉ \| 113/283 [00:36<00:28, 5.94it/s] [2024-03-18 19:33:19] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	40%\|███████████████████████████████████▉ \| 113/283 [00:36<00:28, 5.94it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	40%\|███████████████████████████████████▉ \| 113/283 [00:36<00:28, 5.94it/s] 40%\|████████████████████████████████████▎ \| 114/283 [00:37<00:56, 2.99it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.36.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	40%\|████████████████████████████████████▎ \| 114/283 [00:37<00:56, 2.99it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.36.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	40%\|████████████████████████████████████▎ \| 114/283 [00:37<00:56, 2.99it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	40%\|████████████████████████████████████▎ \| 114/283 [00:37<00:56, 2.99it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	40%\|████████████████████████████████████▎ \| 114/283 [00:37<00:56, 2.99it/s] 41%\|█████████████████████████████████████▏ \| 117/283 [00:37<00:39, 4.23it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	41%\|█████████████████████████████████████▏ \| 117/283 [00:37<00:39, 4.23it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.36.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	41%\|█████████████████████████████████████▏ \| 117/283 [00:37<00:39, 4.23it/s] 42%\|█████████████████████████████████████▌ \| 118/283 [00:37<00:36, 4.51it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.37.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	42%\|█████████████████████████████████████▌ \| 118/283 [00:37<00:36, 4.51it/s] [2024-03-18 19:33:20] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	42%\|█████████████████████████████████████▌ \| 118/283 [00:37<00:36, 4.51it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	42%\|█████████████████████████████████████▌ \| 118/283 [00:37<00:36, 4.51it/s] 42%\|██████████████████████████████████████▏ \| 120/283 [00:37<00:31, 5.22it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	42%\|██████████████████████████████████████▏ \| 120/283 [00:38<00:31, 5.22it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	42%\|██████████████████████████████████████▏ \| 120/283 [00:38<00:31, 5.22it/s] 43%\|██████████████████████████████████████▍ \| 121/283 [00:38<00:44, 3.61it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.37.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	43%\|██████████████████████████████████████▍ \| 121/283 [00:38<00:44, 3.61it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.37.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	43%\|██████████████████████████████████████▍ \| 121/283 [00:38<00:44, 3.61it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	43%\|██████████████████████████████████████▍ \| 121/283 [00:38<00:44, 3.61it/s] [2024-03-18 19:33:21] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	43%\|██████████████████████████████████████▍ \| 121/283 [00:38<00:44, 3.61it/s] 44%\|███████████████████████████████████████▍ \| 124/283 [00:38<00:32, 4.94it/s] [2024-03-18 19:33:22] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	44%\|███████████████████████████████████████▍ \| 124/283 [00:38<00:32, 4.94it/s] [2024-03-18 19:33:22] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.37.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	44%\|███████████████████████████████████████▍ \| 124/283 [00:38<00:32, 4.94it/s] 44%\|███████████████████████████████████████▊ \| 125/283 [00:38<00:30, 5.18it/s] [2024-03-18 19:33:22] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.38.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	44%\|███████████████████████████████████████▊ \| 125/283 [00:38<00:30, 5.18it/s] [2024-03-18 19:33:22] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	44%\|███████████████████████████████████████▊ \| 125/283 [00:39<00:30, 5.18it/s] [2024-03-18 19:33:22] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	44%\|███████████████████████████████████████▊ \| 125/283 [00:39<00:30, 5.18it/s] 45%\|████████████████████████████████████████▍ \| 127/283 [00:39<00:26, 5.82it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	45%\|████████████████████████████████████████▍ \| 127/283 [00:39<00:26, 5.82it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	45%\|████████████████████████████████████████▍ \| 127/283 [00:40<00:26, 5.82it/s] 45%\|████████████████████████████████████████▋ \| 128/283 [00:40<00:48, 3.22it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.38.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	45%\|████████████████████████████████████████▋ \| 128/283 [00:40<00:48, 3.22it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.38.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	45%\|████████████████████████████████████████▋ \| 128/283 [00:40<00:48, 3.22it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	45%\|████████████████████████████████████████▋ \| 128/283 [00:40<00:48, 3.22it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	45%\|████████████████████████████████████████▋ \| 128/283 [00:40<00:48, 3.22it/s] 46%\|█████████████████████████████████████████▋ \| 131/283 [00:40<00:33, 4.53it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	46%\|█████████████████████████████████████████▋ \| 131/283 [00:40<00:33, 4.53it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.38.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	46%\|█████████████████████████████████████████▋ \| 131/283 [00:40<00:33, 4.53it/s] 47%\|█████████████████████████████████████████▉ \| 132/283 [00:40<00:31, 4.77it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.39.input_layernorm.weight[0m", shape: (2560,), dtype: float32
	47%\|█████████████████████████████████████████▉ \| 132/283 [00:40<00:31, 4.77it/s] [2024-03-18 19:33:23] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.mlp.down_proj.q_weight[0m", shape: (2560, 1728), dtype: uint32
	47%\|█████████████████████████████████████████▉ \| 132/283 [00:40<00:31, 4.77it/s] [2024-03-18 19:33:24] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.mlp.down_proj.q_scale[0m", shape: (2560, 216), dtype: float32
	47%\|█████████████████████████████████████████▉ \| 132/283 [00:40<00:31, 4.77it/s] 47%\|██████████████████████████████████████████▌ \| 134/283 [00:40<00:27, 5.47it/s] [2024-03-18 19:33:24] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.mlp.gate_up_proj.q_weight[0m", shape: (13824, 640), dtype: uint32
	47%\|██████████████████████████████████████████▌ \| 134/283 [00:41<00:27, 5.47it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.mlp.gate_up_proj.q_scale[0m", shape: (13824, 80), dtype: float32
	47%\|██████████████████████████████████████████▌ \| 134/283 [00:41<00:27, 5.47it/s] 48%\|██████████████████████████████████████████▉ \| 135/283 [00:41<00:53, 2.79it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.39.post_attention_layernorm.weight[0m", shape: (2560,), dtype: float32
	48%\|██████████████████████████████████████████▉ \| 135/283 [00:41<00:53, 2.79it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.layers.39.self_attn.c_attn.bias[0m", shape: (7680,), dtype: float32
	48%\|██████████████████████████████████████████▉ \| 135/283 [00:41<00:53, 2.79it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.c_attn.q_weight[0m", shape: (7680, 640), dtype: uint32
	48%\|██████████████████████████████████████████▉ \| 135/283 [00:42<00:53, 2.79it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.c_attn.q_scale[0m", shape: (7680, 80), dtype: float32
	48%\|██████████████████████████████████████████▉ \| 135/283 [00:42<00:53, 2.79it/s] 49%\|███████████████████████████████████████████▉ \| 138/283 [00:42<00:35, 4.04it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.o_proj.q_weight[0m", shape: (2560, 640), dtype: uint32
	49%\|███████████████████████████████████████████▉ \| 138/283 [00:42<00:35, 4.04it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:164: [Quantized] Parameter: "[1mmodel.layers.39.self_attn.o_proj.q_scale[0m", shape: (2560, 80), dtype: float32
	49%\|███████████████████████████████████████████▉ \| 138/283 [00:42<00:35, 4.04it/s] 49%\|████████████████████████████████████████████▏ \| 139/283 [00:42<00:33, 4.34it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:172: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (2560,), dtype: float32
	49%\|████████████████████████████████████████████▏ \| 139/283 [00:42<00:33, 4.34it/s] [2024-03-18 19:33:25] INFO huggingface_loader.py:194: Unloading HF weight file: ../dist/models/Qwen1.5-4B/model-00002-of-00002.safetensors
	49%\|████████████████████████████████████████████▏ \| 139/283 [00:42<00:33, 4.34it/s] [2024-03-18 19:33:26] INFO huggingface_loader.py:182: Loading HF parameters from: ../dist/models/Qwen1.5-4B/model-00001-of-00002.safetensors
	49%\|████████████████████████████████████████████▏ \| 139/283 [00:42<00:33, 4.34it/s][19:33:33] /workspace/tvm/src/runtime/memory/pooled_allocator.h:65: Warning: PooledAllocator got InternalError during allocation: InternalError: Check failed: (e == cudaSuccess \|\| e == cudaErrorCudartUnloading) is false: CUDA: out of memory
	[19:33:33] /workspace/tvm/src/runtime/memory/pooled_allocator.h:66: Warning: Trying to release all unused memory and reallocate...
	terminate called after throwing an instance of 'tvm::runtime::InternalError'
	what(): [19:33:33] /workspace/tvm/include/tvm/runtime/packed_func.h:1346: unknown type = 0
	Stack trace:
	0: _ZN3tvm7runtime6deta
	1: _ZN3tvm7runtime6memory13MemoryM
	2: _ZN3tvm7runtime18SimpleObjAllocator7HandlerINS0_
	3: tvm::runtime::relax_vm::VMAllocStorage(void*, tvm::runtime::ShapeTuple, long, DLDataType, tvm::runtime::String) [clone .cold]
	4: tvm::runtime::TypedPackedFunc<tvm::runtime::memory::Storage (void, tvm::runtime::ShapeTuple, long, DLDataType, tvm::runtime::String)>::AssignTypedLambda<tvm::runtime::memory::Storage ()(void, tvm::runtime::ShapeTuple, long, DLDataType, tvm::runtime::String)>(tvm::runtime::memory::Storage ()(void, tvm::runtime::ShapeTuple, long, DLDataType, tvm::runtime::String), std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> >)::{lambda(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue)#1}::operator()(tvm::runtime::TVMArgs const&, tvm::runtime::TVMRetValue*) const
	5: _ZN3tvm7runtime13PackedFun
	6: tvm::runtime::relax_vm::VirtualMachineImpl::RunInstrCall(tvm::runtime::relax_vm::VMFrame*, tvm::runtime::relax_vm::Instruction)
	7: tvm::runtime::relax_vm::VirtualMachineImpl::RunLoop()
	8: tvm::runtime::relax_vm::VirtualMachineImpl::InvokeBytecode(long, std::vector<tvm::runtime::TVMRetValue, std::allocator<tvm::runtime::TVMRetValue> > const&)
	9: tvm::runtime::PackedFuncObj::Extractor<tvm::runtime::PackedFuncSubObj<tvm::runtime::relax_vm::VirtualMachineImpl::GetClosureInternal(tvm::runtime::String const&, bool)::{lambda(tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue)#1}> >::Call(tvm::runtime::PackedFuncObj const, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)
	10: tvm::runtime::relax_vm::VirtualMachineImpl::InvokeClosurePacked(tvm::runtime::ObjectRef const&, tvm::runtime::TVMArgs, tvm::runtime::TVMRetValue*)