Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
The ultimate training toolkit for finetuning diffusion models
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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/
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Easiest and laziest way for building multi-agent LLMs applications.
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
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
π Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support
Open source project for data preparation for GenAI applications
A unified framework for easy fine-tuning in Flow-Matching models
Fizgig β LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video & Music Models
ποΈ Fine-tune, build, and deploy open-source LLMs easily!
Open Jev implementation with custom finetuning
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Fine-Tuning GPT-2 for Math Riddles Generation with Transformers and TRL 2026
Math Riddle Generation 2026: Fine-Tuned GPT-2 for Automated Puzzle Solving
Optimized ESP32-S3/P4 fully offline speech to text and text to speech system for Micropython and AtomVM, featuring a finetuned STT model for noisy environments, plus a data generation/field capture/model finetuning framework. Includes high performance 4/8bit int kernels for Xtensa/RiscV PIE vector units