Easy-to-use LLM fine-tuning framework (LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, ChatGLM2)

Features

  • Python 3.8+ and PyTorch 1.13.1+
  • Transformers, Datasets, Accelerate, PEFT and TRL
  • jieba, rouge-chinese and nltk (used at evaluation)
  • gradio and matplotlib (used in web_demo.py)
  • uvicorn, fastapi and sse-starlette (used in api_demo.py)
  • Currently the web UI only supports training on a single GPU

Project Samples

LLaMA Efficient Tuning Screenshot 1

Project Activity

See All Activity >

Categories

Large Language Models (LLM)

License

Apache License V2.0

Follow LLaMA Efficient Tuning

LLaMA Efficient Tuning Web Site

Other Useful Business Software
Enterprise-grade ITSM, for every business Icon
Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity.

Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of LLaMA Efficient Tuning!

Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2023-08-21
Report inappropriate content