Popular GitHub Repositories for Fine

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

LlamaIndex is the leading framework for building LLM-powered agents over your data.

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

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Low-code framework for building custom LLMs, neural networks, and other AI models

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

A powerful tool for creating fine-tuning datasets for LLM

? Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Easily fine-tune, evaluate and deploy Qwen3, DeepSeek-R1, Llama 4 or any open source LLM / VLM!

Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

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

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.