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
Run larger AI models on Apple computers by optimizing memory usage with different data precisions.
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Free · no card · unsubscribe anytimeRun 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.
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
KVSplit is an open-source project.
Yes. KVSplit is free and open source — you can use, modify and self-host it.
KVSplit is written mainly in Python.
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