MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install
- Total stars
- 547
- Today
- +1
More actions
Qwen3.8-27B on 16-32 GB Nvidia GPUs one-click install for Windows / Linux
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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. Read the original README →
Star growth looks organic. Data as of October 4, 2026, 20:07 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- 1 star so far today, about 1 expected by the end of the day.
- The repository is 29 days old and already has 547 stars.
- Hacker News: “Run QWEN3.8 27B on 16gb Nvidia GPUs” — 28 points, 17 days ago.
- Recent forks include notable developers: @gmh5225 (1,282 followers).
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 26, 2026
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- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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Largest measured day in the last 30 days: 1 · October 4, 2026. Days with data: 2.
Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: October 4, 2026, 20:07 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 547
- Today
- +1 star on 2026-10-04 (UTC), ≈ 1 by evening
- Forks
- 57
- Issues and pull requests
- 13
- Watchers
- 5
- 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 GPUs28 points, September 17, 2026
Spotted in
- September 24, 2026Spotted on Hacker News
- September 23, 2026Spotted on Hacker News
- September 22, 2026Spotted on Hacker News
- September 21, 2026Spotted on Hacker News
- September 20, 2026Spotted on Hacker News
- September 19, 2026Spotted on Hacker News
- September 18, 2026Spotted on Hacker News
README badge
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[](https://gitnova.dev/en/r/MiaAI-Lab/Qwen3.8-27B-16gb-NVIDIA-GPUs-one-click-install)