GitHub intelligence
syv-ai/
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
Observed OCT 8, 2026 · 00:08 UTC
Facts
- Language
- Python
- License
- apache-2.0
- Created
- AUG 15, 2026
- Last push
- Last release
- None recorded
- GitHub
- syv-ai/HyperQwen ↗
Measurements
- Stars
- 1,807
- Forks
- 253
- 7D change
- Collectingfrom OCT 9
- 30D change
- Collectingfrom NOV 1
- 90D change
- Collectingfrom DEC 31
- Velocity
- Collectingfrom OCT 16
- Acceleration
- Collectingfrom OCT 23
- Trajectory
- Collectingfrom OCT 16
- Trending percentile
- Collectingfrom OCT 16
Categories
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Star history
Daily history began OCT 2. The chart appears after 7 days. 1 observed day shown.
Observed days (1)
| Day | Stars | Forks |
|---|---|---|
| OCT 2 | 1,807 | 253 |