SNDR Core Engine
SNDR Core Engine (Genesis) — vLLM runtime patch-overlay for Qwen3.6 + Gemma4 on consumer NVIDIA (Ampere sm_86, 2× A5000/3090). Qwen3.6-35B-A3B FP8 ~240 tok/s, 27B-int4 hybrid GDN+Mamba, Gemma4 26B/31B AWQ, 256K ctx. 321 patches: TurboQuant k8v4 KV, MTP/DFlash spec-decode, FULL cudagraph, hybrid GDN. vLLM pin dev424 + Control Center GUI.
SNDR Core Engine is an open-source local AI project on GitHub under the Apache-2.0 license (permissive), with 133 stars. It is built with CPython and TypeScript. Its last push was 36 days ago.
- Stars
- 133
- License
- Apache-2.0
- Activity
- Active
- Latest release
- v12.1.0
Judgement
- What it is
- Developer tool
- What it does
- A set of runtime patches over vLLM, plus a control GUI, that runs Qwen3.6 and Gemma 4 models faster and with longer context on 24 GB consumer NVIDIA GPUs.
- Adopt it when
- You serve Qwen3.6 or Gemma 4 locally on an RTX 3090, 4090, 5090 or A5000-class card and want more speed and context than stock vLLM gives.
- Watch out
- It pins a specific vLLM development build and is tuned for two model families, so it is largely one person's work and can break with upstream changes.
- Ready for
- Experimental
- Runs as
- Command line and self-hosted server
- Built with
- Python, vLLM, CUDA and TypeScript
- How established
- Young: started 6 months ago, latest release v12.1.0.
- What the license allows
- You can build it into a product you sell, as long as you keep its copyright notice.
Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.
Built from
Follow it down: SNDR Core Engine → CPython → GCC → LLVM project → runs on a microchip
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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.