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大语言模型 (LLMs) 在资源丰富的语言任务中展现了卓越的翻译能力,但在资源匮乏的语言中,其性能受到预训练期间多语言数据不足的限制。为此,我们投入了35,000个A100-SXM4-80GB GPU计算小时,对LLaMA系列模型进行了广泛的多语言持续预训练,实现了对超过100种语言的翻译支持。通过全面分析训练策略,如词汇扩展和数据增强,我们开发了LLaMAX。值得注意的是,在不牺牲其泛化能�

active 2024-07-08 → 2025-06-25 (UTC)

Complete coverage28,003 / 28,003 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-24 (UTC)
Events
89
Pushes
11
Pull requests
0
Issues
3
Stars
66
Forks
6

Activity over time

Daily event counts in the loaded window

Line chart, 353 days from 2024-07-08 to 2025-06-25. Pushes: 11 total, peak 6 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 66 total, peak 12 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
wowzero111001
firdota3001
CONE-MT1100
Ai-Engineer0791000

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 66 stars here means stars gained during the window, not the repo's star count.