# changjonathanc/flex-nano-vllm

<https://repo.masters-masters.com/en/repos/changjonathanc/flex-nano-vllm>

[Home](https://repo.masters-masters.com/en) › [changjonathanc](https://repo.masters-masters.com/en/owners/changjonathanc) › [flex-nano-vllm](https://repo.masters-masters.com/en/repos/changjonathanc/flex-nano-vllm)

changjonathanc/flex-nano-vllm has 363 stars on GitHub. Its RepoMasters card: Alpha tier. FlexAttention based, minimal vllm-style inference engine for fast…

| Field | Value |
| --- | --- |
| Owner | [changjonathanc](https://repo.masters-masters.com/en/owners/changjonathanc) |
| Stars | 363 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [changjonathanc/flex-nano-vllm](https://github.com/changjonathanc/flex-nano-vllm) |

## Repository

FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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