MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install
Qwen3.8-27B on 16-32 GB Nvidia GPUs one-click install for Windows / Linux
About the project
An install-and-serve kit for Qwen3.8-27B in EXL3 quants on a single consumer NVIDIA GPU (16–32 GB): it picks a quant fitting your VRAM, sets up its own Python env, downloads weights, and serves an OpenAI-compatible endpoint with a chat UI. For Windows and Linux users who want a local LLM without manual setup.
Useful for
- Serve a local OpenAI-compatible Qwen3.8-27B endpoint on a single NVIDIA GPU
- Pick a fitting EXL3 quant for your VRAM and download weights in one command
- Open the bundled chat UI to talk to the model after install
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 10 stars so far today, about 13 expected by the end of the day.
- Interest is fading: the two-day pace is 56% of the previous week and a half.
- The repository is 13 days old and already has 473 stars.
- Hacker News: “Run QWEN3.8 27B on 16gb Nvidia GPUs” — 24 points, 1 day ago.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 473
- Stars in a day
- 12
- Forks
- 43
- Issues and pull requests
- 11
- Watchers
- 4
- Language
- Python
- License
- MIT
- Created
- September 5, 2026
- Last push
- September 10, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Hacker News discussions
- Run QWEN3.8 27B on 16gb Nvidia GPUs24 points, September 17, 2026
Spotted in
- September 18, 2026Spotted on Hacker News
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