fine-tuning

152 open-source tools to run LLMs 100% locally – no cloud, no API keys, no censorship

The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.

An LLM training framework built from the ground up, featuring a custom BumbleBee architecture and end-to-end support for multiple open-source models across Pretraining → SFT → RLHF/DPO.

PyTorch library for Active Fine-Tuning

Fine-Tuning Falcon-7B, LLAMA 2 with QLoRA to create an advanced AI model with a profound understanding of the Indian legal context.

pytorch를 사용하여 텍스트 전처리부터 RAG, 에이전트, LLM 파인튜닝을 정리한 Deep Learning NLP 저장소입니다.

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Build your own offline AI from any documents. Free. No coding. LoRA fine-tuning + RAG + GGUF export.

Fine-tuning of diffusion models

Python client library for improving your LLM app accuracy

🚀 Easy, open-source LLM finetuning with one-line commands, seamless cloud integration, and popular optimization frameworks. ✨

Pytorch implementation of paper Ladder Fine-tuning approach for SAM integrating complementary network.

Extensible generative AI platform on Kubernetes with OpenAI-compatible APIs.

Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training

One place to find variety of resources and a community of contributors, ML Guide is the perfect place to learn, build, and collaborate. Let's dive into the exciting world of machine learning together!

This is the official repository for our CVPR 2023 paper 'Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification'.

An algorithm-focused interface for common llm training, continual learning, and reinforcement learning techniques

Blazing fast training of 🤗 Transformers on Graphcore IPUs