syv-ai / HyperQwen
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.
Why this job: topics: local-llm, llm-inference, vllm, quantization
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 2,639
- +108 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 59% of the code
Is it looked after?
- Contributors
- 5
- Last 90 days
- Issues
- 99% closed
- 2 still open
- Pull requests
- 274 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 59%
- Shell 17%
- Cuda 11%
- C++ 9%
Topics
- kv-cache
- llm-inference
- local-llm
- quantization
- qwen
- qwen3
- rtx-3090
- speculative-decoding
- vllm
- consumer-gpu
- cuda
- inference-optimization
Project record
- JobLocal LLMs
- StatusListed
- Commits742
- Forks338
- Watching18
- Stars in 28 days+657
- CreatedAug 15, 2026
- First seen by usNov 7, 2026
- CheckedNov 10, 2026