# 0xSero/turboquant

<https://repo.masters-masters.com/en/repos/0xSero/turboquant>

[Home](https://repo.masters-masters.com/en) › [0xSero](https://repo.masters-masters.com/en/owners/0xSero) › [turboquant](https://repo.masters-masters.com/en/repos/0xSero/turboquant)

0xSero/turboquant has 1,814 stars on GitHub. Its RepoMasters card: Beta tier. TurboQuant: Near-optimal KV cache quantization for LLM inference (3-bit keys…

| Field | Value |
| --- | --- |
| Owner | [0xSero](https://repo.masters-masters.com/en/owners/0xSero) |
| Stars | 1,814 |
| Forks | 199 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2026 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [0xSero/turboquant](https://github.com/0xSero/turboquant) |

## Repository

TurboQuant: Near-optimal KV cache quantization for LLM inference (3-bit keys, 2-bit values) with Triton kernels + vLLM integration

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.