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krasis
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krasis

Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware

by brontoguana · GitHub
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cpu-inferencegguf-model-supportgpu-inferenceC++Self-hostable
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Run large AI models on regular computers with limited memory.

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517483
2026-07-202026-08-31
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Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware

krasis has 516 stars on GitHub. It has been forked 32 times. krasis is written mainly in C++. It has been in active development since 2026. Its main topics are cpu-inference, gguf-model-support, gpu-inference, high-performance-inference.

Frequently asked questions

What is krasis?

Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware

Is krasis open source?

krasis is an open-source project.

Is krasis free?

Yes. krasis is free and open source — you can use, modify and self-host it.

What language is krasis written in?

krasis is written mainly in C++.

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