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A low-cost, high-performance deep learning training framework that enables efficient 100B-scale model fine-tuning on a commodity server with a consumer- grade GPU and limited main memory capacity [ICDE 25]

active 2024-12-092026-05-09 (UTC)

Complete coverage26,386 / 26,386 hourly files (100%) · 2 absent upstream2023-08-152026-08-18 (UTC)
Events
25
Pushes
2
Pull requests
0
Issues
2
Stars
19
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 517 days from 2024-12-09 to 2026-05-09. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 19 total, peak 2 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
wlxjhyf2000
JewdrunAleph2200

Recent activity

Latest issues, pull requests and releases

  • Issue#7wlxjhyf2025-09-16 03:03
    请问在4 * 4090上微调一次100B模型会耗时多久?
  • Issue#7wlxjhyf2025-09-03 09:26
    请问在4 * 4090上微调一次100B模型会耗时多久?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 19 stars here means stars gained during the window, not the repo's star count.