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kekzl /

imp

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…

#15 in Local LLMs C++ 124 stars

Updated 23 min ago

Why now

Version v0.61.0 came out on November 1.

+77 stars gained this week

77× its usual pace

Stars gained each day, last 30 days

Usual pace · 1 / day
Oct 4Oct 19Today
This week Before Usual pace

In short

It needs a Blackwell-generation NVIDIA GPU, Linux or WSL2, and Docker with the NVIDIA Container Toolkit. Models must be in SafeTensors format, and you chat in the browser or point coding agents at its local API.

Summary written by AI from the repository’s description and README.

kekzl / imp
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