# kekzl/imp

<https://repo.masters-masters.com/en/repos/kekzl/imp>

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

kekzl/imp has 124 stars on GitHub. Its RepoMasters card: Prototype tier. Run large AI chat models privately on your own NVIDIA RTX 50 or RTX PRO graphics…

| Field | Value |
| --- | --- |
| Owner | [kekzl](https://repo.masters-masters.com/en/owners/kekzl) |
| Stars | 124 |
| Forks | 6 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | MIT |
| Created | 2026 |
| Topics | blackwell, cuda, mixture-of-experts, quantization, rtx-5090, qwen, inference-engine, nvfp4, llm-inference, local-llm |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [kekzl/imp](https://github.com/kekzl/imp) |

## Repository

Run large AI chat models privately on your own NVIDIA RTX 50 or RTX PRO graphics card. On one RTX 5090, Qwen3.8-27B writes about 70 words per second, 1.4x faster than vLLM. Even a model almost four times larger than the card's memory runs. Works with apps made for ChatGPT or Claude. Starts with one…

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.