Instructions to use mlc-ai/WizardMath-7B-V1.0-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/WizardMath-7B-V1.0-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| 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 | |
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| [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 | |
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| [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 | |