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VQ-bench: A Composable Vector Quantization Framework
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关键摘要
arXiv:2608.11240v1 Announce Type: new Abstract: Vector quantization is an old problem but has recently become central to AI infrastructure.…
- It is therefore experiencing a surge of renewed engineering and resear…
- This paper provides a unified framework for developing and benchmarkin…
- We describe 7 common conceptual quantization primitives and show how t…
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正文提要
arXiv:2608.11240v1 Announce Type: new Abstract: Vector quantization is an old problem but has recently become central to AI infrastructure. It is therefore experiencing a surge of renewed engineering and research activity. This paper provides a unified framework for developing and benchmarking new quantization algorithms. We describe 7 common conceptual quantization primitives and show how to compose them arbitrarily. We then re-express 25 common quantizers as pipelines of these primitives. Finally, we publish VQ-bench as open-source to be extended further and make reproducible benchmarks publicly available.