Instructions to use chambul/MediSimplifier-LoRA-Adapter-Nebius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chambul/MediSimplifier-LoRA-Adapter-Nebius with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("aaditya/Llama3-OpenBioLLM-8B") model = PeftModel.from_pretrained(base_model, "chambul/MediSimplifier-LoRA-Adapter-Nebius") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "openbio", | |
| "hf_path": "aaditya/Llama3-OpenBioLLM-8B", | |
| "lora_rank": 32, | |
| "lora_alpha": 64, | |
| "target_modules": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj" | |
| ], | |
| "use_rslora": true, | |
| "epochs": 3, | |
| "data_size": 7999, | |
| "dataset": "GuyDor007/medisimplifier-dataset" | |
| } |