#1
Ollama is a local LLM runtime that lets you pull, run, and customize models, offering a CLI and REST API for chat, generation, and embeddings.
179.5k stars17.6k forksMITlast commit Actively maintained
3 self-hosted Hugging Face Inference API alternatives
Cloud API for running machine learning models from the Hugging Face Hub (NLP, vision, audio, multimodal). Provides hosted endpoints for real-time inference with model selection from the Hub, autoscaling, batching and streaming responses via HTTP.
Alternatives to Hugging Face Inference API
#2
Run LLMs, image, and audio models locally with an OpenAI-compatible API, optional GPU acceleration, and a built-in web UI for managing and testing models.
48.7k stars4.4k forksMITlast commit Actively maintained
#3
Open-source Python framework to build, scale, and deploy multimodal AI services and pipelines with gRPC/HTTP/WebSocket support and Kubernetes/Docker integration.
21.9k stars2.2k forksApache-2.0last commit Slowing down
What replacing Hugging Face Inference API actually involves
Every option on this page is open source and free to run on your own hardware, so you own the data and there is no subscription to cancel. 2 of 3 shipped a commit in the last six months. Licences in this list: MIT, Apache-2.0. In exchange you take on hosting, backups and updates yourself.
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