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spiritbuun/turboquant-tcq-kv-cache

Listed in Hugging Face Datasets

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.

Description

It contains the trained TCQ codebooks, codebook training scripts, and the full paper PDF.

Summary

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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: huggingface.co/datasets/spiritbuun/turboquant-tcq-kv-cache.

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Theory of computation 70%
Provenance · 1 source records, 9 field assertions
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Hugging Face Datasetsspiritbuun/turboquant-tcq-kv-cache14 d agoJSON v1
FieldAssertionExtractorEvidence
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