// Run models locally
ramalamav0.25.0
RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
Open source Maintained For developers
IN ONE PARAGRAPH
ramalama is ramaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.
Good for: Developers and teams who want to run models locally.
01How to start
- 1Read the official quick-start (link above).
- 2Install from the official package registry:
pip install ramalama - 3Try it on a small example before wiring it into a project.
02Alternatives & comparison
Compare side by side → gpustack A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances. ★ 5.9k LMCache LMCache: Supercharge Your LLM with the Fastest KV Cache Layer ★ 12k inference Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API. ★ 9.6k llama-swap Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc ★ 5.9k llm-d Achieve state of the art inference performance with modern accelerators on Kubernetes ★ 4.9k
03Related
- ›Elements of AI · 赫尔辛基大学 / MinnaLearnMultilingual (incl. EN/ZH)
- ›AI For Everyone · DeepLearning.AI / 吴恩达English
- ›Generative AI for Everyone · DeepLearning.AI / 吴恩达English
- ›Introduction to Generative AI 学习路径 · Google Cloud SkillsEnglish
- ›Microsoft Learn: Fundamentals of Generative AI · Microsoft LearnMultilingual (incl. EN/ZH)
- All tutorials →