Tools to Fine-Tune and Train AI Models Locally

Fine-tune an LLM or train a LoRA on your GPUs, shrink models with quantization, and prepare the labeled data that training needs.

Subcategories

100+ tools
Open-source Python library for compressing local or Hugging Face LLM checkpoints, with Apache 2.0 licensing and vLLM-compatible output.

3.8KUpdated 24 hours agoApache-2.0

#Hugging Face integration#Quantization

A PyTorch library for training and inference on local machines or clusters, with CPU, GPU and TPU support. Open source under Apache 2.0.

9.9KUpdated 1 day agoApache-2.0

#Distributed execution

Open-source computer vision library for local detection, segmentation and tracking, with AGPL-3.0 licensing and exports to ONNX, TensorRT and CoreML.

62.1KUpdated 24 hours agoAGPL-3.0

#ONNX

Python library for running and training embedding and reranker models locally, with Apache 2.0 licensing and pretrained models on Hugging Face.

19.1KUpdated 1 week agoApache-2.0

#Hugging Face integration#Multilingual#Multimodal input

Open-source Rust ML framework for running models locally on CPUs, NVIDIA GPUs or in browsers, with Apache 2.0 licensing and quantized LLM support.

21.1KUpdated 2 days agoApache-2.0

macOS · Web#GGUF#Hugging Face integration#Multilingual

A local LLM merging toolkit that combines model weights without extra training. Runs on CPU or GPU and supports Llama, Mistral and PyTorch checkpoints.

7.4KUpdated 3 weeks agoLGPL-3.0

#Hugging Face integration#LoRA

Local AI image manager for photo culling and dataset curation. Run it as a desktop app or self-hosted server, with on-device models and ComfyUI integration.

89Updated 22 hours agoGPL-3.0

macOS · Windows · Linux · Docker · Web#Batch processing#Hugging Face integration#ONNX