Popular GitHub Repositories for Finetuning

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

Efficient Triton Kernels for LLM Training

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

Interact with your SQL database, Natural Language to SQL using LLMs

A PyTorch Library for Meta-learning Research

Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Easiest and laziest way for building multi-agent LLMs applications.

制作懂人情世故的大语言模型 | 涵盖提示词工程、RAG、Agent、LLM微调教程

Mastering Applied AI, One Concept at a Time

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

Webui for using XTTS and for finetuning it

优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持openai的API接口，支持：gpt-4，gpt-3.5。不需要openai Key, 不需要买openai的账号，不需要美元的银行卡，通通不用的，直接调用就行，稳定好用！！智增增

Finetuning large language models for GDScript generation.

This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text-to-SQL) techniques in the literature and provide practical guidance for researchers and practitioners. If we missed any interesting work, feel free to contact us.

? Helix is a private GenAI stack for building AI applications with declarative pipelines, knowledge (RAG), API bindings, and first-class testing.

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service