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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.

PythonApache-2.0Actively maintained · Pushed 5d ago#consumer-gpu #cuda #inference-optimization #kv-cache #llm-inference #local-llm #quantization #qwen

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#79

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DocumentationOpen on GitHub

stars

2.6k

forks

334

issues

Daily star gain

+85

days old

Underrated #79 Rising #81

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7-Day Star Velocity

+85(+3.35%)

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12.7%

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Forecast: 2.4k stars to 5k · ETA ~196d+85 (4d)

2026-11-09: 2.6k

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Best: #79

2026-11-09: #79 on overlooked

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