| python -m mlc_chat gen_config /models/WizardMath-7B-V1.0 --quantization q4f16_1 --conv-template wizard_coder_or_math --output /tmp/tmp3rxs2lx1 |
| [2023-12-17 15:53:19] INFO auto_config.py:116: [92mFound[0m model configuration: /models/WizardMath-7B-V1.0/config.json |
| [2023-12-17 15:53:19] INFO auto_config.py:155: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
| [2023-12-17 15:53:19] INFO llama_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048) |
| [2023-12-17 15:53:19] INFO gen_config.py:114: [generation_config.json] Setting [1mbos_token_id[0m: 1 |
| [2023-12-17 15:53:19] INFO gen_config.py:114: [generation_config.json] Setting [1meos_token_id[0m: 2 |
| [2023-12-17 15:53:19] INFO gen_config.py:114: [generation_config.json] Setting [1mpad_token_id[0m: 0 |
| [2023-12-17 15:53:19] INFO gen_config.py:128: [91mNot found[0m tokenizer config: /models/WizardMath-7B-V1.0/tokenizer.model |
| [2023-12-17 15:53:19] INFO gen_config.py:126: [92mFound[0m tokenizer config: /models/WizardMath-7B-V1.0/tokenizer.json. Copying to [1m/tmp/tmp3rxs2lx1/tokenizer.json[0m |
| [2023-12-17 15:53:19] INFO gen_config.py:128: [91mNot found[0m tokenizer config: /models/WizardMath-7B-V1.0/vocab.json |
| [2023-12-17 15:53:19] INFO gen_config.py:128: [91mNot found[0m tokenizer config: /models/WizardMath-7B-V1.0/merges.txt |
| [2023-12-17 15:53:19] INFO gen_config.py:126: [92mFound[0m tokenizer config: /models/WizardMath-7B-V1.0/added_tokens.json. Copying to [1m/tmp/tmp3rxs2lx1/added_tokens.json[0m |
| [2023-12-17 15:53:19] INFO gen_config.py:126: [92mFound[0m tokenizer config: /models/WizardMath-7B-V1.0/tokenizer_config.json. Copying to [1m/tmp/tmp3rxs2lx1/tokenizer_config.json[0m |
| [2023-12-17 15:53:19] INFO gen_config.py:68: [System default] Setting [1mtemperature[0m: 0.7 |
| [2023-12-17 15:53:19] INFO gen_config.py:68: [System default] Setting [1mrepetition_penalty[0m: 1.0 |
| [2023-12-17 15:53:19] INFO gen_config.py:68: [System default] Setting [1mtop_p[0m: 0.95 |
| [2023-12-17 15:53:19] INFO gen_config.py:68: [System default] Setting [1mmean_gen_len[0m: 128 |
| [2023-12-17 15:53:19] INFO gen_config.py:68: [System default] Setting [1mmax_gen_len[0m: 512 |
| [2023-12-17 15:53:19] INFO gen_config.py:68: [System default] Setting [1mshift_fill_factor[0m: 0.3 |
| [2023-12-17 15:53:19] INFO gen_config.py:156: Dumping configuration file to: [1m/tmp/tmp3rxs2lx1/mlc-chat-config.json[0m |
| python -m mlc_chat convert_weight /models/WizardMath-7B-V1.0 --quantization q4f16_1 --source-format auto --output /tmp/tmp3rxs2lx1 |
| [2023-12-17 15:53:19] INFO auto_config.py:116: [92mFound[0m model configuration: /models/WizardMath-7B-V1.0/config.json |
| [2023-12-17 15:53:20] INFO auto_device.py:75: [92mFound[0m device: cuda:0 |
| [2023-12-17 15:53:20] INFO auto_device.py:75: [92mFound[0m device: cuda:1 |
| [2023-12-17 15:53:20] INFO auto_device.py:84: [91mNot found[0m device: rocm:0 |
| [2023-12-17 15:53:20] INFO auto_device.py:84: [91mNot found[0m device: metal:0 |
| [2023-12-17 15:53:20] INFO auto_device.py:75: [92mFound[0m device: vulkan:0 |
| [2023-12-17 15:53:20] INFO auto_device.py:75: [92mFound[0m device: vulkan:1 |
| [2023-12-17 15:53:20] INFO auto_device.py:75: [92mFound[0m device: vulkan:2 |
| [2023-12-17 15:53:21] INFO auto_device.py:84: [91mNot found[0m device: opencl:0 |
| [2023-12-17 15:53:21] INFO auto_device.py:33: Using device: [1mcuda:0[0m |
| [2023-12-17 15:53:21] INFO auto_weight.py:70: Finding weights in: /models/WizardMath-7B-V1.0 |
| [2023-12-17 15:53:21] INFO auto_weight.py:120: [92mFound[0m source weight format: huggingface-torch. Source configuration: /models/WizardMath-7B-V1.0/pytorch_model.bin.index.json |
| [2023-12-17 15:53:21] INFO auto_weight.py:149: [91mNot found[0m Huggingface Safetensor |
| [2023-12-17 15:53:21] INFO auto_weight.py:106: Using source weight configuration: [1m/models/WizardMath-7B-V1.0/pytorch_model.bin.index.json[0m. Use `--source` to override. |
| [2023-12-17 15:53:21] INFO auto_weight.py:110: Using source weight format: [1mhuggingface-torch[0m. Use `--source-format` to override. |
| [2023-12-17 15:53:21] INFO auto_config.py:155: [92mFound[0m model type: [1mllama[0m. Use `--model-type` to override. |
| [2023-12-17 15:53:21] INFO llama_model.py:49: [1mcontext_window_size[0m not found in config.json. Falling back to [1mmax_position_embeddings[0m (2048) |
| [1mWeight conversion with arguments:[0m |
| [1m--config[0m /models/WizardMath-7B-V1.0/config.json |
| [1m--quantization[0m GroupQuantize(name='q4f16_1', kind='group-quant', group_size=32, quantize_dtype='int4', storage_dtype='uint32', model_dtype='float16', num_elem_per_storage=8, num_storage_per_group=4, max_int_value=7) |
| [1m--model-type[0m llama |
| [1m--device[0m cuda:0 |
| [1m--source[0m /models/WizardMath-7B-V1.0/pytorch_model.bin.index.json |
| [1m--source-format[0m huggingface-torch |
| [1m--output[0m /tmp/tmp3rxs2lx1 |
|
0%| | 0/195 [00:00<?, ?it/s]
[2023-12-17 15:53:24] INFO huggingface_loader.py:169: Loading HF parameters from: /models/WizardMath-7B-V1.0/pytorch_model-00003-of-00003.bin |
|
0%| | 0/195 [00:00<?, ?it/s]
[2023-12-17 15:53:38] INFO group_quantization.py:199: Compiling quantize function for key: (32001, 4096, 'float16', 'cuda') |
|
0%| | 0/195 [00:14<?, ?it/s]
[2023-12-17 15:53:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mlm_head.q_weight[0m", shape: (32001, 512), dtype: uint32 |
|
0%| | 0/195 [00:15<?, ?it/s]
[2023-12-17 15:53:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mlm_head.q_scale[0m", shape: (32001, 128), dtype: float16 |
|
0%| | 0/195 [00:15<?, ?it/s]
1%|β | 1/195 [00:15<50:32, 15.63s/it]
[2023-12-17 15:53:39] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.23.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
1%|β | 1/195 [00:15<50:32, 15.63s/it]
[2023-12-17 15:53:40] INFO group_quantization.py:199: Compiling quantize function for key: (4096, 11008, 'float16', 'cuda') |
|
1%|β | 1/195 [00:15<50:32, 15.63s/it]
[2023-12-17 15:53:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
1%|β | 1/195 [00:16<50:32, 15.63s/it]
[2023-12-17 15:53:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
1%|β | 1/195 [00:16<50:32, 15.63s/it]
2%|βββ | 3/195 [00:16<13:36, 4.25s/it]
[2023-12-17 15:53:40] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.23.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
2%|βββ | 3/195 [00:16<13:36, 4.25s/it]
[2023-12-17 15:53:40] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.24.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
2%|βββ | 3/195 [00:16<13:36, 4.25s/it]
[2023-12-17 15:53:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
2%|βββ | 3/195 [00:16<13:36, 4.25s/it]
[2023-12-17 15:53:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
2%|βββ | 3/195 [00:16<13:36, 4.25s/it]
3%|βββββ | 6/195 [00:16<05:17, 1.68s/it]
[2023-12-17 15:53:40] INFO group_quantization.py:199: Compiling quantize function for key: (22016, 4096, 'float16', 'cuda') |
|
3%|βββββ | 6/195 [00:16<05:17, 1.68s/it]
[2023-12-17 15:53:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
3%|βββββ | 6/195 [00:17<05:17, 1.68s/it]
[2023-12-17 15:53:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
3%|βββββ | 6/195 [00:17<05:17, 1.68s/it]
[2023-12-17 15:53:41] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.24.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
3%|βββββ | 6/195 [00:17<05:17, 1.68s/it]
4%|ββββββ | 8/195 [00:17<03:44, 1.20s/it]
[2023-12-17 15:53:41] INFO group_quantization.py:199: Compiling quantize function for key: (12288, 4096, 'float16', 'cuda') |
|
4%|ββββββ | 8/195 [00:17<03:44, 1.20s/it]
[2023-12-17 15:53:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
4%|ββββββ | 8/195 [00:17<03:44, 1.20s/it]
[2023-12-17 15:53:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
4%|ββββββ | 8/195 [00:17<03:44, 1.20s/it]
5%|βββββββ | 9/195 [00:17<03:19, 1.07s/it]
[2023-12-17 15:53:42] INFO group_quantization.py:199: Compiling quantize function for key: (4096, 4096, 'float16', 'cuda') |
|
5%|βββββββ | 9/195 [00:17<03:19, 1.07s/it]
[2023-12-17 15:53:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
5%|βββββββ | 9/195 [00:18<03:19, 1.07s/it]
[2023-12-17 15:53:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.24.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
5%|βββββββ | 9/195 [00:18<03:19, 1.07s/it]
5%|ββββββββ | 10/195 [00:18<02:51, 1.08it/s]
[2023-12-17 15:53:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.25.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
5%|ββββββββ | 10/195 [00:18<02:51, 1.08it/s]
[2023-12-17 15:53:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
5%|ββββββββ | 10/195 [00:18<02:51, 1.08it/s]
[2023-12-17 15:53:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
5%|ββββββββ | 10/195 [00:18<02:51, 1.08it/s]
6%|βββββββββ | 12/195 [00:18<01:48, 1.68it/s]
[2023-12-17 15:53:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
6%|βββββββββ | 12/195 [00:18<01:48, 1.68it/s]
[2023-12-17 15:53:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
6%|βββββββββ | 12/195 [00:18<01:48, 1.68it/s]
7%|ββββββββββ | 13/195 [00:18<01:40, 1.81it/s]
[2023-12-17 15:53:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.25.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
7%|ββββββββββ | 13/195 [00:18<01:40, 1.81it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
7%|ββββββββββ | 13/195 [00:18<01:40, 1.81it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
7%|ββββββββββ | 13/195 [00:18<01:40, 1.81it/s]
8%|ββββββββββββ | 15/195 [00:18<01:08, 2.61it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
8%|ββββββββββββ | 15/195 [00:19<01:08, 2.61it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.25.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
8%|ββββββββββββ | 15/195 [00:19<01:08, 2.61it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.26.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
8%|ββββββββββββ | 15/195 [00:19<01:08, 2.61it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
8%|ββββββββββββ | 15/195 [00:19<01:08, 2.61it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
8%|ββββββββββββ | 15/195 [00:19<01:08, 2.61it/s]
9%|ββββββββββββββ | 18/195 [00:19<00:43, 4.05it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
9%|ββββββββββββββ | 18/195 [00:19<00:43, 4.05it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
9%|ββββββββββββββ | 18/195 [00:19<00:43, 4.05it/s]
10%|βββββββββββββββ | 19/195 [00:19<00:48, 3.65it/s]
[2023-12-17 15:53:43] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.26.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
10%|βββββββββββββββ | 19/195 [00:19<00:48, 3.65it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
10%|βββββββββββββββ | 19/195 [00:19<00:48, 3.65it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
10%|βββββββββββββββ | 19/195 [00:19<00:48, 3.65it/s]
11%|ββββββββββββββββ | 21/195 [00:19<00:38, 4.55it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
11%|ββββββββββββββββ | 21/195 [00:19<00:38, 4.55it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.26.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
11%|ββββββββββββββββ | 21/195 [00:19<00:38, 4.55it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.27.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
11%|ββββββββββββββββ | 21/195 [00:19<00:38, 4.55it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
11%|ββββββββββββββββ | 21/195 [00:20<00:38, 4.55it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
11%|ββββββββββββββββ | 21/195 [00:20<00:38, 4.55it/s]
12%|ββββββββββββββββββ | 24/195 [00:20<00:27, 6.17it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
12%|ββββββββββββββββββ | 24/195 [00:20<00:27, 6.17it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
12%|ββββββββββββββββββ | 24/195 [00:20<00:27, 6.17it/s]
13%|βββββββββββββββββββ | 25/195 [00:20<00:34, 4.95it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.27.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
13%|βββββββββββββββββββ | 25/195 [00:20<00:34, 4.95it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
13%|βββββββββββββββββββ | 25/195 [00:20<00:34, 4.95it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
13%|βββββββββββββββββββ | 25/195 [00:20<00:34, 4.95it/s]
14%|βββββββββββββββββββββ | 27/195 [00:20<00:29, 5.78it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
14%|βββββββββββββββββββββ | 27/195 [00:20<00:29, 5.78it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.27.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
14%|βββββββββββββββββββββ | 27/195 [00:20<00:29, 5.78it/s]
[2023-12-17 15:53:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.28.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
14%|βββββββββββββββββββββ | 27/195 [00:20<00:29, 5.78it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
14%|βββββββββββββββββββββ | 27/195 [00:20<00:29, 5.78it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
14%|βββββββββββββββββββββ | 27/195 [00:20<00:29, 5.78it/s]
15%|βββββββββββββββββββββββ | 30/195 [00:20<00:22, 7.35it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
15%|βββββββββββββββββββββββ | 30/195 [00:21<00:22, 7.35it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
15%|βββββββββββββββββββββββ | 30/195 [00:21<00:22, 7.35it/s]
16%|ββββββββββββββββββββββββ | 31/195 [00:21<00:29, 5.58it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.28.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
16%|ββββββββββββββββββββββββ | 31/195 [00:21<00:29, 5.58it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
16%|ββββββββββββββββββββββββ | 31/195 [00:21<00:29, 5.58it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
16%|ββββββββββββββββββββββββ | 31/195 [00:21<00:29, 5.58it/s]
17%|βββββββββββββββββββββββββ | 33/195 [00:21<00:25, 6.32it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
17%|βββββββββββββββββββββββββ | 33/195 [00:21<00:25, 6.32it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.28.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
17%|βββββββββββββββββββββββββ | 33/195 [00:21<00:25, 6.32it/s]
[2023-12-17 15:53:45] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.29.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
17%|βββββββββββββββββββββββββ | 33/195 [00:21<00:25, 6.32it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
17%|βββββββββββββββββββββββββ | 33/195 [00:21<00:25, 6.32it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
17%|βββββββββββββββββββββββββ | 33/195 [00:21<00:25, 6.32it/s]
18%|βββββββββββββββββββββββββββ | 36/195 [00:21<00:20, 7.84it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
18%|βββββββββββββββββββββββββββ | 36/195 [00:22<00:20, 7.84it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
18%|βββββββββββββββββββββββββββ | 36/195 [00:22<00:20, 7.84it/s]
19%|ββββββββββββββββββββββββββββ | 37/195 [00:22<00:27, 5.83it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.29.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
19%|ββββββββββββββββββββββββββββ | 37/195 [00:22<00:27, 5.83it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
19%|ββββββββββββββββββββββββββββ | 37/195 [00:22<00:27, 5.83it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
19%|ββββββββββββββββββββββββββββ | 37/195 [00:22<00:27, 5.83it/s]
20%|ββββββββββββββββββββββββββββββ | 39/195 [00:22<00:23, 6.53it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
20%|ββββββββββββββββββββββββββββββ | 39/195 [00:22<00:23, 6.53it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.29.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
20%|ββββββββββββββββββββββββββββββ | 39/195 [00:22<00:23, 6.53it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.30.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
20%|ββββββββββββββββββββββββββββββ | 39/195 [00:22<00:23, 6.53it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
20%|ββββββββββββββββββββββββββββββ | 39/195 [00:22<00:23, 6.53it/s]
[2023-12-17 15:53:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
20%|ββββββββββββββββββββββββββββββ | 39/195 [00:22<00:23, 6.53it/s]
22%|ββββββββββββββββββββββββββββββββ | 42/195 [00:22<00:19, 8.01it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
22%|ββββββββββββββββββββββββββββββββ | 42/195 [00:23<00:19, 8.01it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
22%|ββββββββββββββββββββββββββββββββ | 42/195 [00:23<00:19, 8.01it/s]
22%|βββββββββββββββββββββββββββββββββ | 43/195 [00:23<00:25, 5.89it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.30.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
22%|βββββββββββββββββββββββββββββββββ | 43/195 [00:23<00:25, 5.89it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
22%|βββββββββββββββββββββββββββββββββ | 43/195 [00:23<00:25, 5.89it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
22%|βββββββββββββββββββββββββββββββββ | 43/195 [00:23<00:25, 5.89it/s]
23%|ββββββββββββββββββββββββββββββββββ | 45/195 [00:23<00:22, 6.59it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
23%|ββββββββββββββββββββββββββββββββββ | 45/195 [00:23<00:22, 6.59it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.30.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
23%|ββββββββββββββββββββββββββββββββββ | 45/195 [00:23<00:22, 6.59it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.31.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
23%|ββββββββββββββββββββββββββββββββββ | 45/195 [00:23<00:22, 6.59it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
23%|ββββββββββββββββββββββββββββββββββ | 45/195 [00:23<00:22, 6.59it/s]
[2023-12-17 15:53:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
23%|ββββββββββββββββββββββββββββββββββ | 45/195 [00:23<00:22, 6.59it/s]
25%|ββββββββββββββββββββββββββββββββββββ | 48/195 [00:23<00:18, 8.07it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
25%|ββββββββββββββββββββββββββββββββββββ | 48/195 [00:23<00:18, 8.07it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
25%|ββββββββββββββββββββββββββββββββββββ | 48/195 [00:23<00:18, 8.07it/s]
25%|βββββββββββββββββββββββββββββββββββββ | 49/195 [00:23<00:24, 5.93it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.31.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
25%|βββββββββββββββββββββββββββββββββββββ | 49/195 [00:23<00:24, 5.93it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
25%|βββββββββββββββββββββββββββββββββββββ | 49/195 [00:24<00:24, 5.93it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
25%|βββββββββββββββββββββββββββββββββββββ | 49/195 [00:24<00:24, 5.93it/s]
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:24<00:21, 6.63it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:24<00:21, 6.63it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.31.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:24<00:21, 6.63it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.norm.weight[0m", shape: (4096,), dtype: float16 |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:24<00:21, 6.63it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:179: Unloading HF weight file: /models/WizardMath-7B-V1.0/pytorch_model-00003-of-00003.bin |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:24<00:21, 6.63it/s]
[2023-12-17 15:53:48] INFO huggingface_loader.py:169: Loading HF parameters from: /models/WizardMath-7B-V1.0/pytorch_model-00001-of-00003.bin |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:24<00:21, 6.63it/s]
[2023-12-17 15:54:09] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.embed_tokens.q_weight[0m", shape: (32001, 512), dtype: uint32 |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:45<00:21, 6.63it/s]
[2023-12-17 15:54:09] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.embed_tokens.q_scale[0m", shape: (32001, 128), dtype: float16 |
|
26%|βββββββββββββββββββββββββββββββββββββββ | 51/195 [00:45<00:21, 6.63it/s]
28%|βββββββββββββββββββββββββββββββββββββββββ | 54/195 [00:45<06:48, 2.90s/it]
[2023-12-17 15:54:09] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.0.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
28%|βββββββββββββββββββββββββββββββββββββββββ | 54/195 [00:45<06:48, 2.90s/it]
[2023-12-17 15:54:09] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
28%|βββββββββββββββββββββββββββββββββββββββββ | 54/195 [00:45<06:48, 2.90s/it]
[2023-12-17 15:54:09] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
28%|βββββββββββββββββββββββββββββββββββββββββ | 54/195 [00:45<06:48, 2.90s/it]
29%|ββββββββββββββββββββββββββββββββββββββββββ | 56/195 [00:45<04:54, 2.12s/it]
[2023-12-17 15:54:09] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
29%|ββββββββββββββββββββββββββββββββββββββββββ | 56/195 [00:45<04:54, 2.12s/it]
[2023-12-17 15:54:09] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
29%|ββββββββββββββββββββββββββββββββββββββββββ | 56/195 [00:45<04:54, 2.12s/it]
29%|βββββββββββββββββββββββββββββββββββββββββββ | 57/195 [00:45<04:13, 1.84s/it]
[2023-12-17 15:54:09] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.0.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
29%|βββββββββββββββββββββββββββββββββββββββββββ | 57/195 [00:45<04:13, 1.84s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
29%|βββββββββββββββββββββββββββββββββββββββββββ | 57/195 [00:45<04:13, 1.84s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
29%|βββββββββββββββββββββββββββββββββββββββββββ | 57/195 [00:45<04:13, 1.84s/it]
30%|βββββββββββββββββββββββββββββββββββββββββββββ | 59/195 [00:45<02:54, 1.28s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
30%|βββββββββββββββββββββββββββββββββββββββββββββ | 59/195 [00:45<02:54, 1.28s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.0.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
30%|βββββββββββββββββββββββββββββββββββββββββββββ | 59/195 [00:45<02:54, 1.28s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.1.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
30%|βββββββββββββββββββββββββββββββββββββββββββββ | 59/195 [00:45<02:54, 1.28s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
30%|βββββββββββββββββββββββββββββββββββββββββββββ | 59/195 [00:46<02:54, 1.28s/it]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
30%|βββββββββββββββββββββββββββββββββββββββββββββ | 59/195 [00:46<02:54, 1.28s/it]
32%|βββββββββββββββββββββββββββββββββββββββββββββββ | 62/195 [00:46<01:45, 1.26it/s]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
32%|βββββββββββββββββββββββββββββββββββββββββββββββ | 62/195 [00:46<01:45, 1.26it/s]
[2023-12-17 15:54:10] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
32%|βββββββββββββββββββββββββββββββββββββββββββββββ | 62/195 [00:46<01:45, 1.26it/s]
32%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 63/195 [00:46<01:36, 1.37it/s]
[2023-12-17 15:54:10] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.1.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
32%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 63/195 [00:46<01:36, 1.37it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
32%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 63/195 [00:46<01:36, 1.37it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
32%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 63/195 [00:46<01:36, 1.37it/s]
33%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 65/195 [00:46<01:09, 1.87it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
33%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 65/195 [00:46<01:09, 1.87it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.1.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
33%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 65/195 [00:46<01:09, 1.87it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.10.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
33%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 65/195 [00:46<01:09, 1.87it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
33%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 65/195 [00:47<01:09, 1.87it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
33%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 65/195 [00:47<01:09, 1.87it/s]
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/195 [00:47<00:44, 2.84it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/195 [00:47<00:44, 2.84it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 68/195 [00:47<00:44, 2.84it/s]
35%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 69/195 [00:47<00:45, 2.77it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.10.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
35%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 69/195 [00:47<00:45, 2.77it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
35%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 69/195 [00:47<00:45, 2.77it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
35%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 69/195 [00:47<00:45, 2.77it/s]
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/195 [00:47<00:35, 3.54it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/195 [00:47<00:35, 3.54it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.10.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/195 [00:47<00:35, 3.54it/s]
[2023-12-17 15:54:11] INFO huggingface_loader.py:169: Loading HF parameters from: /models/WizardMath-7B-V1.0/pytorch_model-00002-of-00003.bin |
|
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/195 [00:47<00:35, 3.54it/s]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/195 [01:06<00:35, 3.54it/s]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 71/195 [01:06<00:35, 3.54it/s]
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 73/195 [01:06<06:16, 3.08s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 73/195 [01:06<06:16, 3.08s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 73/195 [01:06<06:16, 3.08s/it]
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/195 [01:06<05:10, 2.56s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/195 [01:06<05:10, 2.56s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/195 [01:06<05:10, 2.56s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.2.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/195 [01:06<05:10, 2.56s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/195 [01:06<05:10, 2.56s/it]
[2023-12-17 15:54:30] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 74/195 [01:06<05:10, 2.56s/it]
39%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 77/195 [01:06<02:54, 1.48s/it]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
39%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 77/195 [01:07<02:54, 1.48s/it]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
39%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 77/195 [01:07<02:54, 1.48s/it]
40%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/195 [01:07<02:31, 1.29s/it]
[2023-12-17 15:54:31] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.2.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
40%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/195 [01:07<02:31, 1.29s/it]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
40%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/195 [01:07<02:31, 1.29s/it]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
40%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 78/195 [01:07<02:31, 1.29s/it]
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/195 [01:07<01:43, 1.11it/s]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/195 [01:07<01:43, 1.11it/s]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.2.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/195 [01:07<01:43, 1.11it/s]
[2023-12-17 15:54:31] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.3.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/195 [01:07<01:43, 1.11it/s]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/195 [01:07<01:43, 1.11it/s]
[2023-12-17 15:54:31] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 80/195 [01:07<01:43, 1.11it/s]
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/195 [01:07<01:02, 1.78it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/195 [01:07<01:02, 1.78it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 83/195 [01:07<01:02, 1.78it/s]
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/195 [01:08<00:59, 1.87it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.3.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/195 [01:08<00:59, 1.87it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/195 [01:08<00:59, 1.87it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
43%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 84/195 [01:08<00:59, 1.87it/s]
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/195 [01:08<00:43, 2.50it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/195 [01:08<00:43, 2.50it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.3.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/195 [01:08<00:43, 2.50it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.4.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/195 [01:08<00:43, 2.50it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/195 [01:08<00:43, 2.50it/s]
[2023-12-17 15:54:32] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 86/195 [01:08<00:43, 2.50it/s]
46%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/195 [01:08<00:28, 3.69it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
46%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/195 [01:08<00:28, 3.69it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
46%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 89/195 [01:08<00:28, 3.69it/s]
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/195 [01:08<00:30, 3.43it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.4.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/195 [01:08<00:30, 3.43it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/195 [01:09<00:30, 3.43it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 90/195 [01:09<00:30, 3.43it/s]
47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/195 [01:09<00:24, 4.26it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/195 [01:09<00:24, 4.26it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.4.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/195 [01:09<00:24, 4.26it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.5.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/195 [01:09<00:24, 4.26it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/195 [01:09<00:24, 4.26it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
47%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 92/195 [01:09<00:24, 4.26it/s]
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/195 [01:09<00:17, 5.78it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/195 [01:09<00:17, 5.78it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 95/195 [01:09<00:17, 5.78it/s]
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/195 [01:09<00:20, 4.77it/s]
[2023-12-17 15:54:33] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.5.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/195 [01:09<00:20, 4.77it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/195 [01:09<00:20, 4.77it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
49%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 96/195 [01:09<00:20, 4.77it/s]
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/195 [01:09<00:17, 5.59it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/195 [01:10<00:17, 5.59it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.5.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/195 [01:10<00:17, 5.59it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.6.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/195 [01:10<00:17, 5.59it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/195 [01:10<00:17, 5.59it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
50%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 98/195 [01:10<00:17, 5.59it/s]
52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 101/195 [01:10<00:13, 7.15it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 101/195 [01:10<00:13, 7.15it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
52%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 101/195 [01:10<00:13, 7.15it/s]
52%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/195 [01:10<00:16, 5.50it/s]
[2023-12-17 15:54:34] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.6.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
52%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/195 [01:10<00:16, 5.50it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
52%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/195 [01:10<00:16, 5.50it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
52%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 102/195 [01:10<00:16, 5.50it/s]
53%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 104/195 [01:10<00:14, 6.25it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
53%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 104/195 [01:10<00:14, 6.25it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.6.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
53%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 104/195 [01:10<00:14, 6.25it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.7.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
53%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 104/195 [01:10<00:14, 6.25it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
53%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 104/195 [01:11<00:14, 6.25it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
53%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 104/195 [01:11<00:14, 6.25it/s]
55%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/195 [01:11<00:11, 7.77it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
55%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/195 [01:11<00:11, 7.77it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
55%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 107/195 [01:11<00:11, 7.77it/s]
55%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/195 [01:11<00:15, 5.80it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.7.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
55%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/195 [01:11<00:15, 5.80it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
55%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/195 [01:11<00:15, 5.80it/s]
[2023-12-17 15:54:35] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
55%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 108/195 [01:11<00:15, 5.80it/s]
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 110/195 [01:11<00:13, 6.52it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 110/195 [01:11<00:13, 6.52it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.7.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 110/195 [01:11<00:13, 6.52it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.8.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 110/195 [01:11<00:13, 6.52it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 110/195 [01:11<00:13, 6.52it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
56%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 110/195 [01:11<00:13, 6.52it/s]
58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 113/195 [01:11<00:10, 8.02it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 113/195 [01:12<00:10, 8.02it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
58%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 113/195 [01:12<00:10, 8.02it/s]
58%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 114/195 [01:12<00:13, 5.93it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.8.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
58%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 114/195 [01:12<00:13, 5.93it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
58%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 114/195 [01:12<00:13, 5.93it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
58%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 114/195 [01:12<00:13, 5.93it/s]
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 116/195 [01:12<00:11, 6.63it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 116/195 [01:12<00:11, 6.63it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.8.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 116/195 [01:12<00:11, 6.63it/s]
[2023-12-17 15:54:36] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.9.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 116/195 [01:12<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 116/195 [01:12<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
59%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 116/195 [01:12<00:11, 6.63it/s]
61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 119/195 [01:12<00:09, 8.07it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 119/195 [01:13<00:09, 8.07it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
61%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 119/195 [01:13<00:09, 8.07it/s]
62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 120/195 [01:13<00:12, 5.94it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.9.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 120/195 [01:13<00:12, 5.94it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 120/195 [01:13<00:12, 5.94it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
62%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 120/195 [01:13<00:12, 5.94it/s]
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 122/195 [01:13<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 122/195 [01:13<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.9.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 122/195 [01:13<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.11.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 122/195 [01:13<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 122/195 [01:13<00:11, 6.63it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.11.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
63%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 122/195 [01:13<00:11, 6.63it/s]
64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 125/195 [01:13<00:08, 8.11it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.11.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 125/195 [01:13<00:08, 8.11it/s]
[2023-12-17 15:54:37] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.12.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 125/195 [01:13<00:08, 8.11it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 125/195 [01:13<00:08, 8.11it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
64%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 125/195 [01:13<00:08, 8.11it/s]
66%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 128/195 [01:13<00:06, 9.99it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
66%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 128/195 [01:14<00:06, 9.99it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
66%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 128/195 [01:14<00:06, 9.99it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.12.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
66%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 128/195 [01:14<00:06, 9.99it/s]
67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 130/195 [01:14<00:08, 7.94it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 130/195 [01:14<00:08, 7.94it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
67%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 130/195 [01:14<00:08, 7.94it/s]
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 131/195 [01:14<00:09, 7.08it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 131/195 [01:14<00:09, 7.08it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.12.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 131/195 [01:14<00:09, 7.08it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.13.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 131/195 [01:14<00:09, 7.08it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 131/195 [01:14<00:09, 7.08it/s]
[2023-12-17 15:54:38] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
67%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 131/195 [01:14<00:09, 7.08it/s]
69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 134/195 [01:14<00:07, 8.49it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 134/195 [01:15<00:07, 8.49it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
69%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 134/195 [01:15<00:07, 8.49it/s]
69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/195 [01:15<00:09, 6.14it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.13.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/195 [01:15<00:09, 6.14it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/195 [01:15<00:09, 6.14it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
69%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 135/195 [01:15<00:09, 6.14it/s]
70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 137/195 [01:15<00:08, 6.80it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 137/195 [01:15<00:08, 6.80it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.13.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 137/195 [01:15<00:08, 6.80it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.14.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 137/195 [01:15<00:08, 6.80it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 137/195 [01:15<00:08, 6.80it/s]
[2023-12-17 15:54:39] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
70%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 137/195 [01:15<00:08, 6.80it/s]
72%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 140/195 [01:15<00:06, 8.27it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
72%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 140/195 [01:16<00:06, 8.27it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
72%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 140/195 [01:16<00:06, 8.27it/s]
72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/195 [01:16<00:08, 6.03it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.14.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/195 [01:16<00:08, 6.03it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/195 [01:16<00:08, 6.03it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
72%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 141/195 [01:16<00:08, 6.03it/s]
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 143/195 [01:16<00:07, 6.71it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 143/195 [01:16<00:07, 6.71it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.14.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 143/195 [01:16<00:07, 6.71it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.15.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 143/195 [01:16<00:07, 6.71it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 143/195 [01:16<00:07, 6.71it/s]
[2023-12-17 15:54:40] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
73%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 143/195 [01:16<00:07, 6.71it/s]
75%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 146/195 [01:16<00:06, 8.16it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
75%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 146/195 [01:16<00:06, 8.16it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
75%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 146/195 [01:16<00:06, 8.16it/s]
75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/195 [01:16<00:08, 5.98it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.15.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/195 [01:16<00:08, 5.98it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/195 [01:17<00:08, 5.98it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
75%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 147/195 [01:17<00:08, 5.98it/s]
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 149/195 [01:17<00:06, 6.67it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 149/195 [01:17<00:06, 6.67it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.15.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 149/195 [01:17<00:06, 6.67it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.16.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 149/195 [01:17<00:06, 6.67it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 149/195 [01:17<00:06, 6.67it/s]
[2023-12-17 15:54:41] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
76%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 149/195 [01:17<00:06, 6.67it/s]
78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 152/195 [01:17<00:05, 8.15it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 152/195 [01:17<00:05, 8.15it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
78%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 152/195 [01:17<00:05, 8.15it/s]
78%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/195 [01:17<00:07, 5.95it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.16.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
78%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/195 [01:17<00:07, 5.95it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
78%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/195 [01:17<00:07, 5.95it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
78%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 153/195 [01:18<00:07, 5.95it/s]
79%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 155/195 [01:18<00:06, 6.64it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
79%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 155/195 [01:18<00:06, 6.64it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.16.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
79%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 155/195 [01:18<00:06, 6.64it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.17.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
79%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 155/195 [01:18<00:06, 6.64it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
79%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 155/195 [01:18<00:06, 6.64it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
79%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 155/195 [01:18<00:06, 6.64it/s]
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 158/195 [01:18<00:04, 8.04it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 158/195 [01:18<00:04, 8.04it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
81%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 158/195 [01:18<00:04, 8.04it/s]
82%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/195 [01:18<00:06, 5.93it/s]
[2023-12-17 15:54:42] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.17.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
82%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/195 [01:18<00:06, 5.93it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
82%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/195 [01:18<00:06, 5.93it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
82%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 159/195 [01:18<00:06, 5.93it/s]
83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/195 [01:18<00:05, 6.62it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/195 [01:18<00:05, 6.62it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.17.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/195 [01:18<00:05, 6.62it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.18.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/195 [01:18<00:05, 6.62it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/195 [01:19<00:05, 6.62it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
83%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 161/195 [01:19<00:05, 6.62it/s]
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 164/195 [01:19<00:03, 8.09it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 164/195 [01:19<00:03, 8.09it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
84%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 164/195 [01:19<00:03, 8.09it/s]
85%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/195 [01:19<00:05, 5.94it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.18.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
85%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/195 [01:19<00:05, 5.94it/s]
[2023-12-17 15:54:43] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
85%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/195 [01:19<00:05, 5.94it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
85%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 165/195 [01:19<00:05, 5.94it/s]
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/195 [01:19<00:04, 6.63it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/195 [01:19<00:04, 6.63it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.18.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/195 [01:19<00:04, 6.63it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.19.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/195 [01:19<00:04, 6.63it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/195 [01:19<00:04, 6.63it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
86%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 167/195 [01:20<00:04, 6.63it/s]
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 170/195 [01:20<00:03, 8.11it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 170/195 [01:20<00:03, 8.11it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
87%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 170/195 [01:20<00:03, 8.11it/s]
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/195 [01:20<00:04, 5.96it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.19.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/195 [01:20<00:04, 5.96it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/195 [01:20<00:04, 5.96it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 171/195 [01:20<00:04, 5.96it/s]
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/195 [01:20<00:03, 6.65it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/195 [01:20<00:03, 6.65it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.19.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/195 [01:20<00:03, 6.65it/s]
[2023-12-17 15:54:44] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.20.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/195 [01:20<00:03, 6.65it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/195 [01:20<00:03, 6.65it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
89%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 173/195 [01:20<00:03, 6.65it/s]
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 176/195 [01:20<00:02, 8.13it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 176/195 [01:21<00:02, 8.13it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
90%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 176/195 [01:21<00:02, 8.13it/s]
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 177/195 [01:21<00:03, 5.96it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.20.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 177/195 [01:21<00:03, 5.96it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 177/195 [01:21<00:03, 5.96it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
91%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 177/195 [01:21<00:03, 5.96it/s]
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 179/195 [01:21<00:02, 6.62it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 179/195 [01:21<00:02, 6.62it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.20.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 179/195 [01:21<00:02, 6.62it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.21.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 179/195 [01:21<00:02, 6.62it/s]
[2023-12-17 15:54:45] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 179/195 [01:21<00:02, 6.62it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
92%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 179/195 [01:21<00:02, 6.62it/s]
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 182/195 [01:21<00:01, 8.08it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 182/195 [01:22<00:01, 8.08it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
93%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 182/195 [01:22<00:01, 8.08it/s]
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 183/195 [01:22<00:02, 5.93it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.21.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 183/195 [01:22<00:02, 5.93it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 183/195 [01:22<00:02, 5.93it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
94%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 183/195 [01:22<00:02, 5.93it/s]
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 185/195 [01:22<00:01, 6.63it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 185/195 [01:22<00:01, 6.63it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.21.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 185/195 [01:22<00:01, 6.63it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.22.input_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 185/195 [01:22<00:01, 6.63it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_weight[0m", shape: (4096, 1376), dtype: uint32 |
|
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 185/195 [01:22<00:01, 6.63it/s]
[2023-12-17 15:54:46] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.mlp.down_proj.q_scale[0m", shape: (4096, 344), dtype: float16 |
|
95%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 185/195 [01:22<00:01, 6.63it/s]
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 188/195 [01:22<00:00, 8.06it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 188/195 [01:23<00:00, 8.06it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
96%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 188/195 [01:23<00:00, 8.06it/s]
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 189/195 [01:23<00:01, 5.91it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:129: [Not quantized] Parameter: "[1mmodel.layers.22.post_attention_layernorm.weight[0m", shape: (4096,), dtype: float16 |
|
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 189/195 [01:23<00:01, 5.91it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 189/195 [01:23<00:01, 5.91it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
97%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 189/195 [01:23<00:01, 5.91it/s]
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 191/195 [01:23<00:00, 6.61it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 191/195 [01:23<00:00, 6.61it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.22.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 191/195 [01:23<00:00, 6.61it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_weight[0m", shape: (22016, 512), dtype: uint32 |
|
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 191/195 [01:23<00:00, 6.61it/s]
[2023-12-17 15:54:47] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.mlp.gate_up_proj.q_scale[0m", shape: (22016, 128), dtype: float16 |
|
98%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 191/195 [01:23<00:00, 6.61it/s]
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 193/195 [01:23<00:00, 5.66it/s]
[2023-12-17 15:54:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_weight[0m", shape: (12288, 512), dtype: uint32 |
|
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 193/195 [01:23<00:00, 5.66it/s]
[2023-12-17 15:54:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.qkv_proj.q_scale[0m", shape: (12288, 128), dtype: float16 |
|
99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 193/195 [01:23<00:00, 5.66it/s]
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 194/195 [01:23<00:00, 5.40it/s]
[2023-12-17 15:54:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_weight[0m", shape: (4096, 512), dtype: uint32 |
|
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 194/195 [01:24<00:00, 5.40it/s]
[2023-12-17 15:54:48] INFO huggingface_loader.py:121: [Quantized] Parameter: "[1mmodel.layers.23.self_attn.o_proj.q_scale[0m", shape: (4096, 128), dtype: float16 |
|
99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 194/195 [01:24<00:00, 5.40it/s]
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 195/195 [01:24<00:00, 2.32it/s] |
| [2023-12-17 15:54:48] INFO huggingface_loader.py:179: Unloading HF weight file: /models/WizardMath-7B-V1.0/pytorch_model-00001-of-00003.bin |
| [2023-12-17 15:54:48] INFO huggingface_loader.py:179: Unloading HF weight file: /models/WizardMath-7B-V1.0/pytorch_model-00002-of-00003.bin |
| [2023-12-17 15:54:48] INFO stats.py:71: [92mTime usage[0m: HF loading: 50.875 sec; Pre-quantization mapping: 28.910 sec; Quantization: 2.530 sec |
| [2023-12-17 15:54:48] INFO stats.py:85: [92mRAM usage[0m: Peak RAM: 18.415 GB. Total bytes loaded from disk: 25.103 GB |
| [2023-12-17 15:54:48] INFO convert_weight.py:109: [92mParameter size[0m after quantization: 3.530 GB |
| [2023-12-17 15:54:48] INFO convert_weight.py:114: [92mTotal parameters[0m: 6,738,423,808 |
| [2023-12-17 15:54:48] INFO convert_weight.py:115: [92mBits per parameter[0m: 4.500 |
| Start storing to cache /tmp/tmp3rxs2lx1 |
|
[0001/0325] saving lm_head.q_weight
[0002/0325] saving lm_head.q_scale
[0003/0325] saving model.layers.23.input_layernorm.weight
[0004/0325] saving model.layers.23.mlp.down_proj.q_weight
[0005/0325] saving model.layers.23.mlp.down_proj.q_scale
[0006/0325] saving model.layers.23.post_attention_layernorm.weight
[0007/0325] saving model.layers.24.input_layernorm.weight
[0008/0325] saving model.layers.24.mlp.down_proj.q_weight
[0009/0325] saving model.layers.24.mlp.down_proj.q_scale
[0010/0325] saving model.layers.24.mlp.gate_up_proj.q_weight
[0011/0325] saving model.layers.24.mlp.gate_up_proj.q_scale
[0012/0325] saving model.layers.24.post_attention_layernorm.weight
[0013/0325] saving model.layers.24.self_attn.qkv_proj.q_weight
[0014/0325] saving model.layers.24.self_attn.qkv_proj.q_scale
[0015/0325] saving model.layers.24.self_attn.o_proj.q_weight
[0016/0325] saving model.layers.24.self_attn.o_proj.q_scale
[0017/0325] saving model.layers.25.input_layernorm.weight
[0018/0325] saving model.layers.25.mlp.down_proj.q_weight
[0019/0325] saving model.layers.25.mlp.down_proj.q_scale
[0020/0325] saving model.layers.25.mlp.gate_up_proj.q_weight
[0021/0325] saving model.layers.25.mlp.gate_up_proj.q_scale
[0022/0325] saving model.layers.25.post_attention_layernorm.weight
[0023/0325] saving model.layers.25.self_attn.qkv_proj.q_weight
[0024/0325] saving model.layers.25.self_attn.qkv_proj.q_scale
[0025/0325] saving model.layers.25.self_attn.o_proj.q_weight
[0026/0325] saving model.layers.25.self_attn.o_proj.q_scale
[0027/0325] saving model.layers.26.input_layernorm.weight
[0028/0325] saving model.layers.26.mlp.down_proj.q_weight
[0029/0325] saving model.layers.26.mlp.down_proj.q_scale
[0030/0325] saving model.layers.26.mlp.gate_up_proj.q_weight
[0031/0325] saving model.layers.26.mlp.gate_up_proj.q_scale
[0032/0325] saving model.layers.26.post_attention_layernorm.weight
[0033/0325] saving model.layers.26.self_attn.qkv_proj.q_weight
[0034/0325] saving model.layers.26.self_attn.qkv_proj.q_scale
[0035/0325] saving model.layers.26.self_attn.o_proj.q_weight
[0036/0325] saving model.layers.26.self_attn.o_proj.q_scale
[0037/0325] saving model.layers.27.input_layernorm.weight
[0038/0325] saving model.layers.27.mlp.down_proj.q_weight
[0039/0325] saving model.layers.27.mlp.down_proj.q_scale
[0040/0325] saving model.layers.27.mlp.gate_up_proj.q_weight
[0041/0325] saving model.layers.27.mlp.gate_up_proj.q_scale
[0042/0325] saving model.layers.27.post_attention_layernorm.weight
[0043/0325] saving model.layers.27.self_attn.qkv_proj.q_weight
[0044/0325] saving model.layers.27.self_attn.qkv_proj.q_scale
[0045/0325] saving model.layers.27.self_attn.o_proj.q_weight
[0046/0325] saving model.layers.27.self_attn.o_proj.q_scale
[0047/0325] saving model.layers.28.input_layernorm.weight
[0048/0325] saving model.layers.28.mlp.down_proj.q_weight
[0049/0325] saving model.layers.28.mlp.down_proj.q_scale
[0050/0325] saving model.layers.28.mlp.gate_up_proj.q_weight
[0051/0325] saving model.layers.28.mlp.gate_up_proj.q_scale
[0052/0325] saving model.layers.28.post_attention_layernorm.weight
[0053/0325] saving model.layers.28.self_attn.qkv_proj.q_weight
[0054/0325] saving model.layers.28.self_attn.qkv_proj.q_scale
[0055/0325] saving model.layers.28.self_attn.o_proj.q_weight
[0056/0325] saving model.layers.28.self_attn.o_proj.q_scale
[0057/0325] saving model.layers.29.input_layernorm.weight
[0058/0325] saving model.layers.29.mlp.down_proj.q_weight
[0059/0325] saving model.layers.29.mlp.down_proj.q_scale
[0060/0325] saving model.layers.29.mlp.gate_up_proj.q_weight
[0061/0325] saving model.layers.29.mlp.gate_up_proj.q_scale
[0062/0325] saving model.layers.29.post_attention_layernorm.weight
[0063/0325] saving model.layers.29.self_attn.qkv_proj.q_weight
[0064/0325] saving model.layers.29.self_attn.qkv_proj.q_scale
[0065/0325] saving model.layers.29.self_attn.o_proj.q_weight
[0066/0325] saving model.layers.29.self_attn.o_proj.q_scale
[0067/0325] saving model.layers.30.input_layernorm.weight
[0068/0325] saving model.layers.30.mlp.down_proj.q_weight
[0069/0325] saving model.layers.30.mlp.down_proj.q_scale
[0070/0325] saving model.layers.30.mlp.gate_up_proj.q_weight
[0071/0325] saving model.layers.30.mlp.gate_up_proj.q_scale
[0072/0325] saving model.layers.30.post_attention_layernorm.weight
[0073/0325] saving model.layers.30.self_attn.qkv_proj.q_weight
[0074/0325] saving model.layers.30.self_attn.qkv_proj.q_scale
[0075/0325] saving model.layers.30.self_attn.o_proj.q_weight
[0076/0325] saving model.layers.30.self_attn.o_proj.q_scale
[0077/0325] saving model.layers.31.input_layernorm.weight
[0078/0325] saving model.layers.31.mlp.down_proj.q_weight
[0079/0325] saving model.layers.31.mlp.down_proj.q_scale
[0080/0325] saving model.layers.31.mlp.gate_up_proj.q_weight
[0081/0325] saving model.layers.31.mlp.gate_up_proj.q_scale
[0082/0325] saving model.layers.31.post_attention_layernorm.weight
[0083/0325] saving model.layers.31.self_attn.qkv_proj.q_weight
[0084/0325] saving model.layers.31.self_attn.qkv_proj.q_scale
[0085/0325] saving model.layers.31.self_attn.o_proj.q_weight
[0086/0325] saving model.layers.31.self_attn.o_proj.q_scale
[0087/0325] saving model.norm.weight
[0088/0325] saving model.embed_tokens.q_weight
[0089/0325] saving model.embed_tokens.q_scale
[0090/0325] saving model.layers.0.input_layernorm.weight
[0091/0325] saving model.layers.0.mlp.down_proj.q_weight
[0092/0325] saving model.layers.0.mlp.down_proj.q_scale
[0093/0325] saving model.layers.0.mlp.gate_up_proj.q_weight
[0094/0325] saving model.layers.0.mlp.gate_up_proj.q_scale
[0095/0325] saving model.layers.0.post_attention_layernorm.weight
[0096/0325] saving model.layers.0.self_attn.qkv_proj.q_weight
[0097/0325] saving model.layers.0.self_attn.qkv_proj.q_scale
[0098/0325] saving model.layers.0.self_attn.o_proj.q_weight
[0099/0325] saving model.layers.0.self_attn.o_proj.q_scale
[0100/0325] saving model.layers.1.input_layernorm.weight
[0101/0325] saving model.layers.1.mlp.down_proj.q_weight
[0102/0325] saving model.layers.1.mlp.down_proj.q_scale
[0103/0325] saving model.layers.1.mlp.gate_up_proj.q_weight
[0104/0325] saving model.layers.1.mlp.gate_up_proj.q_scale
[0105/0325] saving model.layers.1.post_attention_layernorm.weight
[0106/0325] saving model.layers.1.self_attn.qkv_proj.q_weight
[0107/0325] saving model.layers.1.self_attn.qkv_proj.q_scale
[0108/0325] saving model.layers.1.self_attn.o_proj.q_weight
[0109/0325] saving model.layers.1.self_attn.o_proj.q_scale
[0110/0325] saving model.layers.10.input_layernorm.weight
[0111/0325] saving model.layers.10.mlp.down_proj.q_weight
[0112/0325] saving model.layers.10.mlp.down_proj.q_scale
[0113/0325] saving model.layers.10.mlp.gate_up_proj.q_weight
[0114/0325] saving model.layers.10.mlp.gate_up_proj.q_scale
[0115/0325] saving model.layers.10.post_attention_layernorm.weight
[0116/0325] saving model.layers.10.self_attn.qkv_proj.q_weight
[0117/0325] saving model.layers.10.self_attn.qkv_proj.q_scale
[0118/0325] saving model.layers.10.self_attn.o_proj.q_weight
[0119/0325] saving model.layers.10.self_attn.o_proj.q_scale
[0120/0325] saving model.layers.11.mlp.gate_up_proj.q_weight
[0121/0325] saving model.layers.11.mlp.gate_up_proj.q_scale
[0122/0325] saving model.layers.11.self_attn.qkv_proj.q_weight
[0123/0325] saving model.layers.11.self_attn.qkv_proj.q_scale
[0124/0325] saving model.layers.11.self_attn.o_proj.q_weight
[0125/0325] saving model.layers.11.self_attn.o_proj.q_scale
[0126/0325] saving model.layers.2.input_layernorm.weight
[0127/0325] saving model.layers.2.mlp.down_proj.q_weight
[0128/0325] saving model.layers.2.mlp.down_proj.q_scale
[0129/0325] saving model.layers.2.mlp.gate_up_proj.q_weight
[0130/0325] saving model.layers.2.mlp.gate_up_proj.q_scale
[0131/0325] saving model.layers.2.post_attention_layernorm.weight
[0132/0325] saving model.layers.2.self_attn.qkv_proj.q_weight
[0133/0325] saving model.layers.2.self_attn.qkv_proj.q_scale
[0134/0325] saving model.layers.2.self_attn.o_proj.q_weight
[0135/0325] saving model.layers.2.self_attn.o_proj.q_scale
[0136/0325] saving model.layers.3.input_layernorm.weight
[0137/0325] saving model.layers.3.mlp.down_proj.q_weight
[0138/0325] saving model.layers.3.mlp.down_proj.q_scale
[0139/0325] saving model.layers.3.mlp.gate_up_proj.q_weight
[0140/0325] saving model.layers.3.mlp.gate_up_proj.q_scale
[0141/0325] saving model.layers.3.post_attention_layernorm.weight
[0142/0325] saving model.layers.3.self_attn.qkv_proj.q_weight
[0143/0325] saving model.layers.3.self_attn.qkv_proj.q_scale
[0144/0325] saving model.layers.3.self_attn.o_proj.q_weight
[0145/0325] saving model.layers.3.self_attn.o_proj.q_scale
[0146/0325] saving model.layers.4.input_layernorm.weight
[0147/0325] saving model.layers.4.mlp.down_proj.q_weight
[0148/0325] saving model.layers.4.mlp.down_proj.q_scale
[0149/0325] saving model.layers.4.mlp.gate_up_proj.q_weight
[0150/0325] saving model.layers.4.mlp.gate_up_proj.q_scale
[0151/0325] saving model.layers.4.post_attention_layernorm.weight
[0152/0325] saving model.layers.4.self_attn.qkv_proj.q_weight
[0153/0325] saving model.layers.4.self_attn.qkv_proj.q_scale
[0154/0325] saving model.layers.4.self_attn.o_proj.q_weight
[0155/0325] saving model.layers.4.self_attn.o_proj.q_scale
[0156/0325] saving model.layers.5.input_layernorm.weight
[0157/0325] saving model.layers.5.mlp.down_proj.q_weight
[0158/0325] saving model.layers.5.mlp.down_proj.q_scale
[0159/0325] saving model.layers.5.mlp.gate_up_proj.q_weight
[0160/0325] saving model.layers.5.mlp.gate_up_proj.q_scale
[0161/0325] saving model.layers.5.post_attention_layernorm.weight
[0162/0325] saving model.layers.5.self_attn.qkv_proj.q_weight
[0163/0325] saving model.layers.5.self_attn.qkv_proj.q_scale
[0164/0325] saving model.layers.5.self_attn.o_proj.q_weight
[0165/0325] saving model.layers.5.self_attn.o_proj.q_scale
[0166/0325] saving model.layers.6.input_layernorm.weight
[0167/0325] saving model.layers.6.mlp.down_proj.q_weight
[0168/0325] saving model.layers.6.mlp.down_proj.q_scale
[0169/0325] saving model.layers.6.mlp.gate_up_proj.q_weight
[0170/0325] saving model.layers.6.mlp.gate_up_proj.q_scale
[0171/0325] saving model.layers.6.post_attention_layernorm.weight
[0172/0325] saving model.layers.6.self_attn.qkv_proj.q_weight
[0173/0325] saving model.layers.6.self_attn.qkv_proj.q_scale
[0174/0325] saving model.layers.6.self_attn.o_proj.q_weight
[0175/0325] saving model.layers.6.self_attn.o_proj.q_scale
[0176/0325] saving model.layers.7.input_layernorm.weight
[0177/0325] saving model.layers.7.mlp.down_proj.q_weight
[0178/0325] saving model.layers.7.mlp.down_proj.q_scale
[0179/0325] saving model.layers.7.mlp.gate_up_proj.q_weight
[0180/0325] saving model.layers.7.mlp.gate_up_proj.q_scale
[0181/0325] saving model.layers.7.post_attention_layernorm.weight
[0182/0325] saving model.layers.7.self_attn.qkv_proj.q_weight
[0183/0325] saving model.layers.7.self_attn.qkv_proj.q_scale
[0184/0325] saving model.layers.7.self_attn.o_proj.q_weight
[0185/0325] saving model.layers.7.self_attn.o_proj.q_scale
[0186/0325] saving model.layers.8.input_layernorm.weight
[0187/0325] saving model.layers.8.mlp.down_proj.q_weight
[0188/0325] saving model.layers.8.mlp.down_proj.q_scale
[0189/0325] saving model.layers.8.mlp.gate_up_proj.q_weight
[0190/0325] saving model.layers.8.mlp.gate_up_proj.q_scale
[0191/0325] saving model.layers.8.post_attention_layernorm.weight
[0192/0325] saving model.layers.8.self_attn.qkv_proj.q_weight
[0193/0325] saving model.layers.8.self_attn.qkv_proj.q_scale
[0194/0325] saving model.layers.8.self_attn.o_proj.q_weight
[0195/0325] saving model.layers.8.self_attn.o_proj.q_scale
[0196/0325] saving model.layers.9.input_layernorm.weight
[0197/0325] saving model.layers.9.mlp.down_proj.q_weight
[0198/0325] saving model.layers.9.mlp.down_proj.q_scale
[0199/0325] saving model.layers.9.mlp.gate_up_proj.q_weight
[0200/0325] saving model.layers.9.mlp.gate_up_proj.q_scale
[0201/0325] saving model.layers.9.post_attention_layernorm.weight
[0202/0325] saving model.layers.9.self_attn.qkv_proj.q_weight
[0203/0325] saving model.layers.9.self_attn.qkv_proj.q_scale
[0204/0325] saving model.layers.9.self_attn.o_proj.q_weight
[0205/0325] saving model.layers.9.self_attn.o_proj.q_scale
[0206/0325] saving model.layers.11.input_layernorm.weight
[0207/0325] saving model.layers.11.mlp.down_proj.q_weight
[0208/0325] saving model.layers.11.mlp.down_proj.q_scale
[0209/0325] saving model.layers.11.post_attention_layernorm.weight
[0210/0325] saving model.layers.12.input_layernorm.weight
[0211/0325] saving model.layers.12.mlp.down_proj.q_weight
[0212/0325] saving model.layers.12.mlp.down_proj.q_scale
[0213/0325] saving model.layers.12.mlp.gate_up_proj.q_weight
[0214/0325] saving model.layers.12.mlp.gate_up_proj.q_scale
[0215/0325] saving model.layers.12.post_attention_layernorm.weight
[0216/0325] saving model.layers.12.self_attn.qkv_proj.q_weight
[0217/0325] saving model.layers.12.self_attn.qkv_proj.q_scale
[0218/0325] saving model.layers.12.self_attn.o_proj.q_weight
[0219/0325] saving model.layers.12.self_attn.o_proj.q_scale
[0220/0325] saving model.layers.13.input_layernorm.weight
[0221/0325] saving model.layers.13.mlp.down_proj.q_weight
[0222/0325] saving model.layers.13.mlp.down_proj.q_scale
[0223/0325] saving model.layers.13.mlp.gate_up_proj.q_weight
[0224/0325] saving model.layers.13.mlp.gate_up_proj.q_scale
[0225/0325] saving model.layers.13.post_attention_layernorm.weight
[0226/0325] saving model.layers.13.self_attn.qkv_proj.q_weight
[0227/0325] saving model.layers.13.self_attn.qkv_proj.q_scale
[0228/0325] saving model.layers.13.self_attn.o_proj.q_weight
[0229/0325] saving model.layers.13.self_attn.o_proj.q_scale
[0230/0325] saving model.layers.14.input_layernorm.weight
[0231/0325] saving model.layers.14.mlp.down_proj.q_weight
[0232/0325] saving model.layers.14.mlp.down_proj.q_scale
[0233/0325] saving model.layers.14.mlp.gate_up_proj.q_weight
[0234/0325] saving model.layers.14.mlp.gate_up_proj.q_scale
[0235/0325] saving model.layers.14.post_attention_layernorm.weight
[0236/0325] saving model.layers.14.self_attn.qkv_proj.q_weight
[0237/0325] saving model.layers.14.self_attn.qkv_proj.q_scale
[0238/0325] saving model.layers.14.self_attn.o_proj.q_weight
[0239/0325] saving model.layers.14.self_attn.o_proj.q_scale
[0240/0325] saving model.layers.15.input_layernorm.weight
[0241/0325] saving model.layers.15.mlp.down_proj.q_weight
[0242/0325] saving model.layers.15.mlp.down_proj.q_scale
[0243/0325] saving model.layers.15.mlp.gate_up_proj.q_weight
[0244/0325] saving model.layers.15.mlp.gate_up_proj.q_scale
[0245/0325] saving model.layers.15.post_attention_layernorm.weight
[0246/0325] saving model.layers.15.self_attn.qkv_proj.q_weight
[0247/0325] saving model.layers.15.self_attn.qkv_proj.q_scale
[0248/0325] saving model.layers.15.self_attn.o_proj.q_weight
[0249/0325] saving model.layers.15.self_attn.o_proj.q_scale
[0250/0325] saving model.layers.16.input_layernorm.weight
[0251/0325] saving model.layers.16.mlp.down_proj.q_weight
[0252/0325] saving model.layers.16.mlp.down_proj.q_scale
[0253/0325] saving model.layers.16.mlp.gate_up_proj.q_weight
[0254/0325] saving model.layers.16.mlp.gate_up_proj.q_scale
[0255/0325] saving model.layers.16.post_attention_layernorm.weight
[0256/0325] saving model.layers.16.self_attn.qkv_proj.q_weight
[0257/0325] saving model.layers.16.self_attn.qkv_proj.q_scale
[0258/0325] saving model.layers.16.self_attn.o_proj.q_weight
[0259/0325] saving model.layers.16.self_attn.o_proj.q_scale
[0260/0325] saving model.layers.17.input_layernorm.weight
[0261/0325] saving model.layers.17.mlp.down_proj.q_weight
[0262/0325] saving model.layers.17.mlp.down_proj.q_scale
[0263/0325] saving model.layers.17.mlp.gate_up_proj.q_weight
[0264/0325] saving model.layers.17.mlp.gate_up_proj.q_scale
[0265/0325] saving model.layers.17.post_attention_layernorm.weight
[0266/0325] saving model.layers.17.self_attn.qkv_proj.q_weight
[0267/0325] saving model.layers.17.self_attn.qkv_proj.q_scale
[0268/0325] saving model.layers.17.self_attn.o_proj.q_weight
[0269/0325] saving model.layers.17.self_attn.o_proj.q_scale
[0270/0325] saving model.layers.18.input_layernorm.weight
[0271/0325] saving model.layers.18.mlp.down_proj.q_weight
[0272/0325] saving model.layers.18.mlp.down_proj.q_scale
[0273/0325] saving model.layers.18.mlp.gate_up_proj.q_weight
[0274/0325] saving model.layers.18.mlp.gate_up_proj.q_scale
[0275/0325] saving model.layers.18.post_attention_layernorm.weight
[0276/0325] saving model.layers.18.self_attn.qkv_proj.q_weight
[0277/0325] saving model.layers.18.self_attn.qkv_proj.q_scale
[0278/0325] saving model.layers.18.self_attn.o_proj.q_weight
[0279/0325] saving model.layers.18.self_attn.o_proj.q_scale
[0280/0325] saving model.layers.19.input_layernorm.weight
[0281/0325] saving model.layers.19.mlp.down_proj.q_weight
[0282/0325] saving model.layers.19.mlp.down_proj.q_scale
[0283/0325] saving model.layers.19.mlp.gate_up_proj.q_weight
[0284/0325] saving model.layers.19.mlp.gate_up_proj.q_scale
[0285/0325] saving model.layers.19.post_attention_layernorm.weight
[0286/0325] saving model.layers.19.self_attn.qkv_proj.q_weight
[0287/0325] saving model.layers.19.self_attn.qkv_proj.q_scale
[0288/0325] saving model.layers.19.self_attn.o_proj.q_weight
[0289/0325] saving model.layers.19.self_attn.o_proj.q_scale
[0290/0325] saving model.layers.20.input_layernorm.weight
[0291/0325] saving model.layers.20.mlp.down_proj.q_weight
[0292/0325] saving model.layers.20.mlp.down_proj.q_scale
[0293/0325] saving model.layers.20.mlp.gate_up_proj.q_weight
[0294/0325] saving model.layers.20.mlp.gate_up_proj.q_scale
[0295/0325] saving model.layers.20.post_attention_layernorm.weight
[0296/0325] saving model.layers.20.self_attn.qkv_proj.q_weight
[0297/0325] saving model.layers.20.self_attn.qkv_proj.q_scale
[0298/0325] saving model.layers.20.self_attn.o_proj.q_weight
[0299/0325] saving model.layers.20.self_attn.o_proj.q_scale
[0300/0325] saving model.layers.21.input_layernorm.weight
[0301/0325] saving model.layers.21.mlp.down_proj.q_weight
[0302/0325] saving model.layers.21.mlp.down_proj.q_scale
[0303/0325] saving model.layers.21.mlp.gate_up_proj.q_weight
[0304/0325] saving model.layers.21.mlp.gate_up_proj.q_scale
[0305/0325] saving model.layers.21.post_attention_layernorm.weight
[0306/0325] saving model.layers.21.self_attn.qkv_proj.q_weight
[0307/0325] saving model.layers.21.self_attn.qkv_proj.q_scale
[0308/0325] saving model.layers.21.self_attn.o_proj.q_weight
[0309/0325] saving model.layers.21.self_attn.o_proj.q_scale
[0310/0325] saving model.layers.22.input_layernorm.weight
[0311/0325] saving model.layers.22.mlp.down_proj.q_weight
[0312/0325] saving model.layers.22.mlp.down_proj.q_scale
[0313/0325] saving model.layers.22.mlp.gate_up_proj.q_weight
[0314/0325] saving model.layers.22.mlp.gate_up_proj.q_scale
[0315/0325] saving model.layers.22.post_attention_layernorm.weight
[0316/0325] saving model.layers.22.self_attn.qkv_proj.q_weight
[0317/0325] saving model.layers.22.self_attn.qkv_proj.q_scale
[0318/0325] saving model.layers.22.self_attn.o_proj.q_weight
[0319/0325] saving model.layers.22.self_attn.o_proj.q_scale
[0320/0325] saving model.layers.23.mlp.gate_up_proj.q_weight
[0321/0325] saving model.layers.23.mlp.gate_up_proj.q_scale[2023-12-17 15:54:57] INFO convert_weight.py:131: Saved to directory: [1m/tmp/tmp3rxs2lx1[0m |
|
[0322/0325] saving model.layers.23.self_attn.qkv_proj.q_weight
[0323/0325] saving model.layers.23.self_attn.qkv_proj.q_scale
[0324/0325] saving model.layers.23.self_attn.o_proj.q_weight
[0325/0325] saving model.layers.23.self_attn.o_proj.q_scale |
| All finished, 114 total shards committed, record saved to /tmp/tmp3rxs2lx1/ndarray-cache.json |
|
|