Lightning-Fast, On-Device, Multilingual TTS — running natively via ONNX.

Gemma open-weight LLM library, from Google DeepMind.

Modeling, training, eval, and inference code for OLMo.

Microsoft compact open-weight models delivering strong performance at small sizes, ideal for low-resource air-gapped systems.

A fast inference library for running LLMs locally on modern consumer-class GPUs.

Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

Universal LLM Deployment Engine with ML Compilation.

MLX: An array framework for Apple silicon.

SGLang is a high-performance serving framework for large language models and multimodal models.

The official API server for Exllama. OAI compatible, lightweight, and fast.

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Large Language Model Text Generation Inference.

Search infrastructure for AI.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

Open-source vector similarity search for Postgres.