GitHub / Hemanthkumar2112 / Reward-Modeling-RLHF-Finetune-and-RAG
Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Hemanthkumar2112%2FReward-Modeling-RLHF-Finetune-and-RAG
PURL: pkg:github/Hemanthkumar2112/Reward-Modeling-RLHF-Finetune-and-RAG
Stars: 20
Forks: 6
Open issues: 0
License: apache-2.0
Language: Jupyter Notebook
Size: 18.6 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: 6 months ago
Topics: cache, faiss-vector-database, finetuning, gemma2, gemma2-9b, kaggle, llama3, rag, semantic