#26 · Primary category: Inference & Local Deploy

OpenLLM

bentoml fine-tuning llama llama2 llama3-1 llama3-2 llama3-2-vision llm llm-inference llm-ops llm-serving llmops mistral mlops model-inference open-source-llm openllm vicuna

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Project last updated:08/24/26

GitHub Stars

12.5K

Forks

836

Contributors

33

License

Apache-2.0

Why we included this project

Self-hosting an LLM usually means picking an inference backend, sizing GPU resources, and wiring everything together by hand. OpenLLM hides that work behind a single openllm serve command, turning an open-weight model like DeepSeek or Llama into an OpenAI-compatible API you can call just like a hosted provider. It includes a chat UI for quick interactive testing, and because it's built on BentoML, the same setup deploys to Docker or Kubernetes without turning into a one-off script. The result is that you can go from a downloaded model to a cloud-deployable endpoint without becoming an expert in every serving framework underneath.

Articles for this project

No articles for this project yet.

To suggest a topic or contribute an article, contact us.

Related projects in this category