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My take on batched Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Jupyter Notebook · active 2023-09-11 → 2026-09-12 (UTC)

Complete coverage27,304 / 27,307 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-25 (UTC)
Events
3.3K
Pushes
62
Pull requests
59
Issues
137
Stars
2.6K
Forks
176

Activity over time

Daily event counts in the loaded window

Line chart, 1098 days from 2023-09-11 to 2026-09-12. Pushes: 62 total, peak 8 in a day. Pull requests: 59 total, peak 9 in a day. Issues: 137 total, peak 12 in a day. Comments: 241 total, peak 16 in a day. Stars: 2,576 total, peak 208 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
leeyeehoo115391754
ctlllll107231746
JianbangZ230117
zankner10007
RonanKMcGovern8004
helldog-star7003
beingPurple7003
niyunsheng7003
kmn10246006
qspang6004
Ageliss5002
kalomaze5014
austinsilveria5013
zhyncs5012
qianxiao11114000
AvivSham4003
blacker5214002
MeWannaSleep4002
caiyuhu4002
JackCharlesZhang4040

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2,576 stars here means stars gained during the window, not the repo's star count.