syv-ai/qwen38-27b-rtx3090
Daily GitHub growth and open-source AI ranking profile for syv-ai/qwen38-27b-rtx3090.
Qwen3.8-27B on a single RTX 3090 with vLLM: ~1,000 tok/s at 64 concurrent (int8 tensor-core GEMMs, fp16 DeltaNet state), ~114 tok/s single-user at defau...
syv-ai/qwen38-27b-rtx3090 has 710 GitHub stars, 94 forks, 81 stars gained in the last 24 hours.
Repository ranking signals
- Total GitHub stars: 710
- Forks: 94
- Stars gained in 24 hours: 81
- Stars gained in 7 days: Unknown
- Primary language: Python
- AI category: Infrastructure
- Subcategory: Deploy & Serve,Inference service optimization
- Keywords: Benchmarks, CUDA programming, Inference optimization, LocalAI
- Top contributors: mhenrichsen, PassivePicasso, LukaszRozmej
- Last repository update: 2026-08-26
Why this page matters
AI Rank monitors syv-ai/qwen38-27b-rtx3090 as part of a daily open-source AI leaderboard. The page is useful for tracking GitHub momentum, category placement, language, contributors, and recent repository activity without manually checking each project.