#fine-tuning (24 Repositories)
Ranked open-source repositories tagged with #fine-tuning, scored by pull request acceptance likelihood and maintainer engagement velocity.
34.5%
38.7h
24 repositories tagged #fine-tuning
bghira/SimpleTuner
A general fine-tuning kit geared toward image/video/audio diffusion models.
invergent-ai/surogate
Training/Fine-tuning at the speed of light
unslothai/unsloth
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, FLUX and more.
dstackai/dstack
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
beam-cloud/beta9
Ultrafast serverless GPU inference, sandboxes, and background jobs
MakazhanAlpamys/Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
AIDotNet/OpenDeepWiki
OpenDeepWiki is the open-source version of the DeepWiki project, aiming to provide a powerful knowledge management and collaboration platform. The project is mainly developed using C# and TypeScript, supporting modular design, and is easy to expand and customize.
AI-Hypercomputer/maxtext
A simple, performant, and scalable Jax LLM!
kubeflow/trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Kiln-AI/Kiln
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
hiyouga/LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
run-llama/llama_index
LlamaIndex is the leading document agent and OCR platform
ddzipp/AutoAudit
AutoAudit—— the LLM for Cyber Security 网络安全大语言模型
kubeflow/sdk
Universal Python SDK to run AI workloads on Kubernetes
louisfb01/start-llms
A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
RapidFireAI/rapidfireai
RapidFire AI: Rapid AI Customization from RAG to Fine-Tuning
wxhcore/bumblecore
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.
adobe-research/custom-diffusion
Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
DaoyuanLi2816/can-i-finetune-this
Estimate whether a Hugging Face model fits and fine-tunes on your local GPU.
ashishpatel26/LLM-Finetuning
LLM Finetuning with peft
MrGiovanni/ModelsGenesis
[MICCAI 2019 Young Scientist Award] [MedIA Best Paper Award] Models Genesis: self-supervised pre-training for 3D medical images. Learns transferable representations from unlabeled CT and MRI volumes, then fine-tunes for downstream segmentation and classification. Keras and PyTorch weights included.
zhao-kun/VibeVoiceFusion
VibeVoiceFusion is a full-stack, multi-speaker voice generation web system featuring LoRA fine-tuning, batch generation, and VRAM optimization. Based on Microsoft's VibeVoice (AR + diffusion architecture)
NVIDIA-NeMo/Nemotron
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
amitshekhariitbhu/ai-engineering-interview-questions
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.