Open source. Open possibilities.

Unsloth is a desktop application and framework for running and training large language models (LLMs) and diffusion models locally across Windows, macOS, and Linux.

Troy is a CLI tool for fine-tuning and preference-tuning LLMs locally on Apple Silicon Macs. Using MLX, it allows users to train models via a simple YAML config without cloud or CUDA requirements.

Oumi is an open-source platform for the full foundation-model lifecycle: data preparation, training and fine-tuning (SFT, LoRA, QLoRA, GRPO), evaluation, data synthesis with LLM judges, and deployment via vLLM/SGLang, with a CLI and cloud job launching.

LlamaFactory is a Python framework for efficient fine-tuning of 100+ large language and multimodal models, offering zero-code CLI, a Gradio Web UI, LoRA/QLoRA, and multiple training algorithms.

PEFT is a library providing state-of-the-art Parameter-Efficient Fine-Tuning methods to adapt large pretrained models with minimal computational and storage costs.

LlamaIndex is an open-source data framework designed to build agentic applications by augmenting LLMs with private data.