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Tool profile

syv-ai/HyperQwen

stable

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.

consumer-gpucudainference-optimizationkv-cachellm-inferencelocal-llmquantizationqwen
Velocity score
1.63/ 10
[STARS]
1.6k
[FORKS]
229
[CONTRIBUTORS]
18
[LAST_COMMIT]
6d ago
OPEN_ON_GITHUB
Velocity class: stable
Is syv-ai/HyperQwen still actively maintained?
[VR]

This tool is in the Velocity Report when it moves. Get the weekly numbers.

Score breakdown
747/ 1000
inference · syv-ai/HyperQwen
Velocity50%
Adoption30%
Maintenance15%
Community5%
[CODE_GROWTH]
930
[INSTALL_VEL]
498
[ACTIVITY]
637
[COMMUNITY_SIGNAL]
749

Terminal score: 0–1000 raw, weighted across 4 dimensions. Public score: 0–10 normalized (shown in the 30-day stars chart above).

LIVE──────── · ──:──:── UTCabout