# syv-ai/HyperQwen

> A ready-made setup for serving Qwen3.8-27B on a single 24 GB consumer RTX 3090 with vLLM: 150k context, OpenAI-compatible API, single-user and batch modes, plus patches, requant scripts and benchmarks.

- Magnitude: 1.8 out of 10 — Steady
- Stars: 1,671 total · +0 stars on 2026-09-24 (UTC), ≈ 18 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-08-15 · Last push: 2026-09-23
- GitHub: https://github.com/syv-ai/HyperQwen · Page: https://gitnova.dev/en/r/syv-ai/HyperQwen

## Useful for

- Run a local OpenAI-compatible Qwen3.8-27B server on a single RTX 3090
- Pick batch mode for an API backend with dozens of concurrent requests
- Enable DFlash2 and prefix cache to speed up answers that quote the prompt

## Why it’s here

- 0 stars so far today, about 18 expected by the end of the day.
- Interest is fading: the two-day pace is 55% of the previous week and a half.
- The repository is 40 days old and already has 1,671 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 234
- Issues and pull requests: 187
- Watchers: 16
- Average over the last week: 32 per day
- Usual pace: 31 per day

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 12 days

09-13 1.9, 09-14 2.1, 09-15 2.1, 09-16 2.0, 09-17 1.9, 09-18 2.7, 09-19 2.7, 09-20 2.7, 09-21 2.7, 09-22 2.2, 09-23 2.2, 09-24 1.8

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-24 00:01 UTC, updated every 30 minutes.