jianzhnie/LLamaTuner
Easy and Efficient Finetuning LLMs. (Supported LLama, LLama2, LLama3, Qwen, Baichuan, GLM , Falcon) 大模型高效量化训练+部署.
This toolkit helps machine learning engineers and researchers adapt large language models (LLMs) to specific tasks or datasets. It takes a base LLM and your custom data, then outputs a fine-tuned LLM capable of more specialized tasks. It's designed for anyone needing to efficiently customize state-of-the-art AI models for their unique applications, even with limited hardware resources.
620 stars. No commits in the last 6 months.
Use this if you need to fine-tune a large language model or vision-language model for a specific use case or domain, such as instruction following, agent behavior, or continuous pre-training, using your own data.
Not ideal if you're looking for a low-code or no-code solution for deploying pre-trained LLMs without any customization or specific training data.
Stars
620
Forks
65
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 24, 2025
Commits (30d)
0
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