Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware
Run large AI models on regular computers with limited memory.
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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.
Krasis is a Hybrid LLM runtime which focuses on efficient running of larger models on consumer grade VRAM limited hardware
krasis is an open-source project.
Yes. krasis is free and open source — you can use, modify and self-host it.
krasis is written mainly in C++.
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