Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
LLMRepos·Model Development LLM projects
Updated dailyBrowse 452 open-source model development LLM projects across Training Toolkits, Fine-Tuning (LoRA / PEFT), Dataset Engineering. Compare stars, growth, languages, licenses, and repository activity.
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Top Model Development repositories
Ranked by current GitHub stars from the latest LLMRepos snapshot.
Showing 40 of 452
Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Toolkit for linearizing PDFs for LLM datasets/training
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
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
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
🚀 One-stop solution for creating your AI twin from chat history 💡 Fine-tune LLMs with your chat logs to capture your unique style, then bind to a chatbot to bring your digital self to life.
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用
Go ahead and axolotl questions
The official GitHub page for the survey paper "A Survey of Large Language Models".
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.
QLoRA: Efficient Finetuning of Quantized LLMs
OpenPipe/ART
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.
Accessible large language models via k-bit quantization for PyTorch.
Lean, fine tuned Opencode multi agent suite · Mix any models · Auto delegate tasks
Using Low-rank adaptation to quickly fine-tune diffusion models.
Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3).
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
Firefly: 大模型训练工具,支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型
Efficient Triton Kernels for LLM Training
Democratizing Reinforcement Learning for LLMs
A PyTorch Library for Accelerating 3D Deep Learning Research
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.
🦞 Just talk to your agent — it learns and EVOLVES 🧬.
总结Prompt&LLM论文,开源数据&模型,AIGC应用
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
A quick guide (especially) for trending instruction finetuning datasets
A framework for prompt tuning using Intent-based Prompt Calibration
LLM Finetuning with peft
An unofficial PyTorch implementation of the audio LM VALL-E