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Stars gained: From Oct 14, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Oct 14, 2026 to Nov 5, 2026, each from zero0250500Oct 14Nov 5, 2026syv-ai/HyperQwenStartLuxLabs/StartLux-Prism
Stars: The star count at the end of each dayStarsThe star count at the end of each day01K2KAug 15Nov 5, 2026syv-ai/HyperQwenStartLuxLabs/StartLux-Prism

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.

StartLuxLabs/StartLux-Prism

Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.

Stars2,567298
Net stars, last 30 days+694Not recorded
Largest star day+128 on Aug 25, 2026+38 on Oct 23, 2026
Milestone reached in the record1,000 on Sep 1, 2026100 on Oct 27, 2026
Forks3255
LanguagePythonPython
LicenseAPACHE-2.0No license
CreatedAug 15, 2026Oct 13, 2026
Last pushNov 3, 2026Oct 27, 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 weeks65428
Weeks with commits, last 5212 of 521 of 52
In the Repository Index sinceOct 23, 2026Oct 28, 2026

Topics that all of them have on the Repository Host: llm-inference, quantization, 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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