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KVSplit
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KVSplit

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command se

by dipampaul17 · GitHub
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apple-silicongenerative-aikv-cachePythonSelf-hostable
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Run larger AI models on Apple computers by optimizing memory usage with different data precisions.

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2026-07-202026-08-31
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Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command se

KVSplit has 362 stars on GitHub. It has been forked 14 times. KVSplit is written mainly in Python. It has been in active development since 2025. Its main topics are apple-silicon, generative-ai, kv-cache, llama-cpp.

Frequently asked questions

What is KVSplit?

Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with

Is KVSplit open source?

KVSplit is an open-source project.

Is KVSplit free?

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

What language is KVSplit written in?

KVSplit is written mainly in Python.

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