Text Generation
PEFT
Safetensors
rag-gym
retrieval-augmented-generation
agent
lora
process-supervision
search-agent
conversational
Instructions to use RAG-Gym/Direct-MedQA-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use RAG-Gym/Direct-MedQA-SFT with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "RAG-Gym/Direct-MedQA-SFT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac6445271656e2b55086da86aca933b1901cc608f75a970f1a03c5a61a90d892
- Size of remote file:
- 604 MB
- SHA256:
- f812add8467dbf8727d8e97b8d0de9d8ea6717fe564e576cda649d4b563a57cf
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