spiritbuun/turboquant-tcq-kv-cache

Closing the Gap: Trellis-Coded Quantization for KV Cache at 2-3 Bits Authors: buun, Claude (Anthropic) This dataset accompanies the paper Closing the Gap: Trellis-Coded Quantization for KV Cache at 2-3 Bits. It contains the trained TCQ codebooks, codebook training scripts, and the full paper PDF. Summary We present the first application of trellis-coded quantization (TCQ) to KV cache compression in LLM inference. TCQ constrains quantization indices to follow a… See the full description on the dataset page: https://huggingface.co/datasets/spiritbuun/turboquant-tcq-kv-cache.

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