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Stars gained: From Aug 26, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Aug 26, 2026 to Nov 5, 2026, each from zero01K2KAug 26Nov 5, 2026syv-ai/HyperQwendatawhalechina/zero-to-sglang
Stars: The star count at the end of each dayStarsThe star count at the end of each day01K2KAug 15Nov 5, 2026syv-ai/HyperQwendatawhalechina/zero-to-sglang

Facts

Factsyv-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.

datawhalechina/zero-to-sglang

Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.

Stars2,5671,718
Net stars, last 30 days+694+331
Largest star day+128 on Aug 25, 2026+359 on Sep 7, 2026
Milestone reached in the record1,000 on Sep 1, 20261,000 on Sep 19, 2026
Forks325139
LanguagePythonPython
LicenseAPACHE-2.0No license
CreatedAug 15, 2026Aug 27, 2026
Last pushNov 3, 2026Nov 5, 2026
ArchivedNoNo
Health facts: Maintenance3 of 4 checks3 of 4 checks
Health facts: Releases0 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check0 of 1 check
Health facts: Community files1 of 3 checks0 of 3 checks
Commits, last 13 weeks654191
Weeks with commits, last 5212 of 5210 of 52
In the Repository Index sinceOct 23, 2026Oct 27, 2026

Topics that all of them have on the Repository Host: kv-cache, llm-inference, cuda. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

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