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Pre-trained, Scalable, High-performance Reward Models via Policy Discriminative Learning.

active 2025-07-082026-02-01 (UTC)

Partial coverage12,255 / 13,946 hourly files (88%) · 2 absent upstream · 1,686 failed, retryable2025-01-062026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
119
Pushes
4
Pull requests
0
Issues
12
Stars
95
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 209 days from 2025-07-08 to 2026-02-01. Pushes: 4 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 12 total, peak 3 in a day. Comments: 6 total, peak 2 in a day. Stars: 95 total, peak 20 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
RowitZou4101
BeastyZ3001
moshouxiaomu3001
UmeanNever3300
kokolerk2001
Hasuer2001
zhouchunpong1000
lmx7605813751000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#9Hasuer2025-09-26 07:01
    Training framework used for pretraining and SFT
  • Issue comment#9RowitZou2025-09-26 06:56
    Training framework used for pretraining and SFT
  • Issue#9Hasuer2025-09-24 15:12
    Training framework used for pretraining and SFT
  • Issue#8zhouchunpong2025-08-18 06:57
    使用OpenAI库来访问API
  • Issue#7RowitZou2025-08-04 06:49
    rag eval
  • Issue comment#6RowitZou2025-07-24 05:19
    Pretrain阶段有考虑过选择某个模型不同step的ckpt来作为对比学习的原材料么?
  • Issue#7Kenwwww2025-07-24 01:09
    rag eval
  • Issue#6caogang2025-07-23 10:12
    Pretrain阶段有考虑过选择某个模型不同step的ckpt来作为对比学习的原材料么?
  • Issue comment#5BeastyZ2025-07-18 07:09
    vLLM支持
  • Issue#5BeastyZ2025-07-18 07:09
    vLLM支持
  • Issue#5BeastyZ2025-07-18 07:07
    vLLM支持
  • Issue#3RowitZou2025-07-17 02:03
    May I ask if you have any plans to open source the pre-training data
  • Issue comment#2kokolerk2025-07-16 02:51
    question about the reference settings
  • Issue#4moshouxiaomu2025-07-14 09:17
    奖励输出范围疑问
  • Issue#3lmx7605813752025-07-14 07:48
    May I ask if you have any plans to open source the pre-training data
  • Issue#2kokolerk2025-07-14 07:28
    question about the reference settings
  • Issue comment#1moshouxiaomu2025-07-10 02:37
    多轮对话与长system prompt适配询问
  • Issue#1moshouxiaomu2025-07-09 08:48
    多轮对话与长system prompt适配询问

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 95 stars here means stars gained during the window, not the repo's star count.