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Serve Llama 2 and other large language models locally from command line or through a browser interface.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.

Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.

Turns your ML code into microservices with web API, interactive GUI, and more.

Vector database plugin for Postgres, written in Rust, specifically designed for LLM.

Open-source vector similarity search for Postgres.

Use AutoML to do model compression.

A high-speed inference engine for deploying LLMs locally.

Open-source tool to simplify the process of creating and managing LLM workflows and prompts as a self-hosted solution.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

The open source solution for monitoring your AI models in production.

OpenAI-compatible LLM inference server for Apple Silicon using MLX. 2-4x faster than Ollama with tool calling and prompt caching.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Examples showing how to use the OpenAI vision API to run inference on images, video files and webcam streams.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Provides containers to encapsulate and deploy EdgeML pipelines and applications.

MLOps framework to package, deploy, monitor and manage thousands of production machine learning models.