Data & Research · GitHub ·5 ★

LLaMA-2-hf-Chatbot

Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)

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Details

Author
ColinWu0403
Category
Data & Research
Platform
GitHub
Framework
langchain
Language
python
Stars
5
First indexed
2026-05-15
Last active
2024-08-02
Directory sync
2026-05-15
@ColinWu0403

Overview

Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)

Quick start

git

git clone https://github.com/ColinWu0403/LLaMA-2-hf-Chatbot

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What LLaMA-2-hf-Chatbot can do

fine-tunllmragresearch
  • Fine Tun — fine-tun task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.
  • Research — Searches sources and synthesises evidence-based answers.

Frequently asked questions

What is LLaMA-2-hf-Chatbot?
Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)
How do I install LLaMA-2-hf-Chatbot?
Use git: `git clone https://github.com/ColinWu0403/LLaMA-2-hf-Chatbot`. Full setup details on the source page linked above.
Is LLaMA-2-hf-Chatbot open source?
LLaMA-2-hf-Chatbot is published on GitHub.
What are alternatives to LLaMA-2-hf-Chatbot?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for LLaMA-2-hf-Chatbot is sourced from GitHub, published by ColinWu0403.

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