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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-2.0Aktywnie rozwijany · Push 5 dni temu#consumer-gpu #cuda #inference-optimization #kv-cache #llm-inference #local-llm #quantization #qwen

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