Instructions to use ammaradel/PSU-LLaMA-Inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use ammaradel/PSU-LLaMA-Inference with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("ammaradel/PSU-LLaMA-Inference", set_active=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "base_model_name_or_path": "yahma/llama-7b-hf", | |
| "bias": "none", | |
| "enable_lora": null, | |
| "fan_in_fan_out": false, | |
| "inference_mode": true, | |
| "lora_alpha": 16, | |
| "lora_dropout": 0.05, | |
| "merge_weights": false, | |
| "modules_to_save": null, | |
| "peft_type": "LORA", | |
| "r": 8, | |
| "target_modules": [ | |
| "q_proj", | |
| "v_proj" | |
| ], | |
| "task_type": "CAUSAL_LM" | |
| } |