lyuyiqi/open-jev-fast
Faster inference backend for Open-Jev-27B: fused CUDA kernels, prefix tree, CUDA Graphs (B300, bf16)
About the project
A fast inference backend for Open-Jev-27B that replaces the model forward pass with hand-written CUDA kernels, a prefix tree, and CUDA Graphs, acting as a drop-in replacement for Open-Jev's own local server.
Useful for
- Speed up a local Open-Jev-27B server by swapping PyTorch inference for CUDA kernels with the same accuracy
- Run JevBench task batches with lower latency on a single B300 GPU
- Benchmark stock Open-Jev against the specialized kernels on your own requests
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 4 stars so far today, about 5 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 3 days old and already has 87 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #196.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 87
- Today
- 4 · ≈ 5 by evening
- Forks
- 6
- Issues and pull requests
- 0
- Watchers
- 0
- Language
- Cuda
- License
- MIT
- Created
- September 27, 2026
- Last push
- September 28, 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.
Spotted in
- September 30, 2026Top new repositories this week: #195
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