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Oxen-AI/Self-Rewarding-Language-Models

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This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI.

active 2024-03-152025-11-22 (UTC)

Complete coverage26,543 / 26,543 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
167
Pushes
22
Pull requests
0
Issues
0
Stars
128
Forks
11

Activity over time

Daily event counts in the loaded window

Line chart, 618 days from 2024-03-15 to 2025-11-22. Pushes: 22 total, peak 11 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 4 total, peak 3 in a day. Stars: 128 total, peak 17 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
gschoeni232201
Yongxv3003

Recent activity

Latest issues, pull requests and releases

  • Issue comment#1gschoeni2024-03-28 16:45
    RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:6!
  • Issue comment#1Yongxv2024-03-28 05:28
    RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:6!
  • Issue comment#1Yongxv2024-03-28 05:27
    RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:6!
  • Issue comment#1Yongxv2024-03-27 15:29
    RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cuda:0 and cuda:6!

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 128 stars here means stars gained during the window, not the repo's star count.