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MiniCPM5-1B: A SOTA 1B on-device LLM, small yet powerful.

active 2024-12-212026-08-07 (UTC)

Partial coverage12,639 / 14,361 hourly files (88%) · 2 absent upstream · 1,716 failed, retryable2024-12-202026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
1.4K
Pushes
114
Pull requests
17
Issues
79
Stars
1K
Forks
64

Activity over time

Daily event counts in the loaded window

Line chart, 595 days from 2024-12-21 to 2026-08-07. Pushes: 114 total, peak 23 in a day. Pull requests: 17 total, peak 4 in a day. Issues: 79 total, peak 25 in a day. Comments: 71 total, peak 18 in a day. Stars: 1,015 total, peak 70 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
xcjthu452736
zh-zheng451118
EEEEEKKO303000
BIGWangYuDong231722
Kaguya-1914723
suhmily1013007
Hytn121101
guanwy199512314
huangyuxiang036501
LDLINGLINGLING5021
jiahe7ay4002
saurabh124533003
XiaoduoAILab3001
agathonFong3030
lovangry3300
xf-hk3001
ZMXJJ3201
Weilun-Hub2020
xiaoganzi2001
avalonliberty2000

Recent activity

Latest issues, pull requests and releases

  • Pull request#353YOIMIYA662026-05-26 07:29
  • Issue comment#352wangzhaode2026-05-26 05:28
    add MNN deployment cookbook and skill
  • Issue#328guanwy19952026-02-12 07:57
    [Feature Request]: Details about minicpm-4 Eagle3 series models QAT process and quantization framework
  • Issue comment#334BIGWangYuDong2026-02-12 03:19
    [Bad Case]: MiniCPM4-0.5B always outputs natural language instead of <tool_call> function calls
  • Issue#325suhmily102026-02-12 03:08
    [Bad Case]: 使用minicpm4-0.5B和8B的模型都报错
  • Issue#308suhmily102026-02-12 03:05
    Training instability with InfLLM v2 on MiniCPM4-8B using sparse attention
  • Issue#312suhmily102026-02-12 03:04
    [Feature Request]: InfLLM v2特性是否与主流推理框架(如vLLM或SGLang)适配?
  • Issue comment#312suhmily102026-02-12 03:04
    [Feature Request]: InfLLM v2特性是否与主流推理框架(如vLLM或SGLang)适配?
  • Issue comment#327suhmily102026-02-12 03:01
    [Bad Case]: 微调MiniCPM 4.1-8B时,其loss显著高于其他模型
  • Issue#326suhmily102026-02-12 02:58
    [Bad Case]: 使用minicpm4-0.5B同时启用sparse attention时报错
  • Issue#330suhmily102026-02-12 02:57
    [Question] Model Parallel when Training MiniCPM4-8B
  • Issue#329suhmily102026-02-12 02:55
    sparse attention torch实现
  • Issue comment#331JFLFY22552026-02-11 12:49
    [Bad Case]: 关于jetson agx orin推理的问题
  • Issue comment#324darkliang2025-12-18 11:52
    vllm video 如何设置fps?
  • Issue#332xf-hk2025-12-14 07:49
    [Feature Request]: Has the training code for BitCPM been open-sourced? I haven't been able to find it.
  • Issue#332xf-hk2025-12-14 07:49
    [Feature Request]: Has the training code for BitCPM been open-sourced? I haven't been able to find it.
  • Issue comment#301xf-hk2025-12-14 07:43
    How to finetune BitCPM4-1B
  • Issue#331alex2robotic2025-12-09 05:20
    [Bad Case]: 关于jetson agx orin推理的问题
  • Issue comment#286dandenkijin2025-11-27 05:02
    [Question]: How can I find ArkInfer?
  • Issue comment#324xcjthu2025-09-26 05:41
    vllm video 如何设置fps?
  • Issue#324xcjthu2025-09-26 05:41
    vllm video 如何设置fps?
  • Issue#325Yhc-7772025-09-25 02:09
    [Bad Case]: 使用minicpm4-0.5B和8B的模型都报错
  • Issue comment#323suhmily102025-09-17 02:13
    slower than qwen 2.5 on a100 40gb
  • Issue comment#323suhmily102025-09-15 12:57
    slower than qwen 2.5 on a100 40gb
  • Pull request#322LDLINGLINGLING2025-09-12 11:29

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,015 stars here means stars gained during the window, not the repo's star count.