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Stars gained: From Oct 20, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Oct 20, 2026 to Nov 5, 2026, each from zero05001KOct 20Nov 5, 2026syv-ai/HyperQweneagle-hq/EAGLE-4
Stars: The star count at the end of each dayStarsThe star count at the end of each day01K2KAug 15Nov 5, 2026syv-ai/HyperQweneagle-hq/EAGLE-4

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.

eagle-hq/EAGLE-4

Official Inference Code of EAGLE-4

Stars2,5671,155
Net stars, last 30 days+694Not recorded
Largest star day+128 on Aug 25, 2026+454 on Oct 20, 2026
Milestone reached in the record1,000 on Sep 1, 20261,000 on Oct 26, 2026
Forks32540
LanguagePythonPython
LicenseAPACHE-2.0Other license
CreatedAug 15, 2026Oct 20, 2026
Last pushNov 3, 2026Nov 1, 2026
ArchivedNoNo
Health facts: Maintenance3 of 4 checks3 of 4 checks
Health facts: Releases0 of 3 checks (1 without data)3 of 3 checks
Health facts: Security practice0 of 1 check1 of 1 check
Health facts: Community files1 of 3 checks2 of 3 checks
Commits, last 13 weeks65477
Weeks with commits, last 5212 of 523 of 52
In the Repository Index sinceOct 23, 2026Oct 23, 2026

Topics that all of them have on the Repository Host: llm-inference, speculative-decoding, vllm. 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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