PEFT
Safetensors
English
reasoning
mathematical-reasoning
reward-model
preference-model
prefix-evaluation
utility-model
lora
qwen
Instructions to use zhiqix/PUM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use zhiqix/PUM with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download model_args.json from zhiqix/PUM: direct link, hf CLI and curl.
- Browser
- Download file 252 Bytes
-
https://huggingface.co/zhiqix/PUM/resolve/main/model_args.json
- Command line
-
hf download hf://zhiqix/PUM/model_args.json
-
curl -L -o model_args.json https://huggingface.co/zhiqix/PUM/resolve/main/model_args.json
252 Bytes
| { | |
| "model_name_or_path": "Qwen/Qwen3-4B-Instruct-2507", | |
| "trust_remote_code": true, | |
| "dropout": 0.1, | |
| "train_mode": "lora_head", | |
| "lora_r": 64, | |
| "lora_alpha": 128, | |
| "lora_dropout": 0.1, | |
| "lora_target_modules": null, | |
| "value_head_type": "mlp" | |
| } |