← 档案库GitHub
数据截至 2026-10-29
已掉榜 · 最后在榜 9 天前Python · Apache-2.0
syv-ai/HyperQwen★ 2.4k
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.
- stars
- 2.4k
- 近 13 周提交
- 571
- 贡献者
- 4
星标走势 · 13d+387
- fork 309
- open issues 9
仓库全景
来自公开接口,与站内名次无关健康度
活跃度、响应速度、维护者- 最近推送
- 17 天前
- issue 响应
- 3.6 天
- 未关闭 issue
- 9
100 条已关闭样本的中位时长
Apache-2.0Pythonkv-cachellm-inferencelocal-llmquantizationqwenqwen3rtx-3090speculative-decoding