finetuning

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

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

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

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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

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

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

Build, personalize and control your 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

Mastering Applied AI, One Concept at a Time

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

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

企业级稳定的OpenAI、Claude、Gemini等的API接口-For企业和开发者。OpenAI的api proxy，支持ChatGPT的API调用，支持Anthropic claude的官方接口形式，支持Google gemini的官方接口形式，支持：gpt-5，sora。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

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

Official repository of my book "A Hands-On Guide to Fine-Tuning LLMs with PyTorch and Hugging Face"

🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

🏗️ Fine-tune, build, and deploy open-source LLMs easily!

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

A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.

Phi-3, -3.5, and -4 for Mac: Locally-run Vision and Language Models for Apple Silicon

Live-bending a foundation model’s output at neural network level.