# PacifAIst/Quansloth

<https://repo.masters-masters.com/en/repos/PacifAIst/Quansloth>

[Home](https://repo.masters-masters.com/en) › [PacifAIst](https://repo.masters-masters.com/en/owners/PacifAIst) › [Quansloth](https://repo.masters-masters.com/en/repos/PacifAIst/Quansloth)

PacifAIst/Quansloth has 153 stars on GitHub. Its RepoMasters card: Prototype tier. Based on the implementation of Google's TurboQuant (ICLR 2026) — Quansloth…

| Field | Value |
| --- | --- |
| Owner | [PacifAIst](https://repo.masters-masters.com/en/owners/PacifAIst) |
| Stars | 153 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | cuda, turboquant, quansloth, vram-wall |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [PacifAIst/Quansloth](https://github.com/PacifAIst/Quansloth) |

## Repository

Based on the implementation of Google's TurboQuant (ICLR 2026) — Quansloth brings elite KV cache compression to local LLM inference. Quansloth is a fully private, air-gapped AI server that runs massive context models natively on consumer hardware with ease

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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