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The easiest & fastest way to run customized and fine-tuned LLMs locally or on the edge

active 2023-10-092024-01-06 (UTC)

Complete coverage26,539 / 26,539 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
Events
916
Pushes
322
Pull requests
55
Issues
69
Stars
127
Forks
20

Activity over time

Daily event counts in the loaded window

Line chart, 90 days from 2023-10-09 to 2024-01-06. Pushes: 322 total, peak 19 in a day. Pull requests: 55 total, peak 8 in a day. Issues: 69 total, peak 15 in a day. Comments: 83 total, peak 21 in a day. Stars: 127 total, peak 9 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
apepkuss3372832316
alabulei194111228
hydai342914
juntao341288
katopz16007
DarumaDocker131210
gaord5002
lsch0lz5012
ChristianWeyer5002
shkr4003
sgt1013001
rxjx2000
MileyFu2200
irhawks1000
mrljdx1000
BGC11000
abhillman1010

Recent activity

Latest issues, pull requests and releases

  • Issue comment#61apepkuss2024-01-05 16:52
    question: How to check out token per second when running a model
  • Releasegithub-actions[bot]2024-01-05 16:51
    b1016
  • Issue comment#61hydai2024-01-05 16:50
    question: How to check out token per second when running a model
  • Issue#3hydai2024-01-05 16:49
    [Feature] Use the token statistics from the `wasi-nn-ggml` plguin of Wasmedge
  • Issue#61hydai2024-01-05 16:49
    question: How to check out token per second when running a model
  • Pull request#67hydai2024-01-05 16:49
  • Pull request#67apepkuss2024-01-05 15:30
  • Issue comment#61apepkuss2024-01-05 15:29
    question: How to check out token per second when running a model
  • Pull request#66alabulei12024-01-04 02:30
  • Pull request#65apepkuss2024-01-03 07:08
  • Pull request#65alabulei12024-01-03 06:47
  • Issue comment#59alabulei12024-01-02 11:46
    question: Running (small) LLMs on RaspberryPI 5
  • Issue comment#60alabulei12024-01-02 11:44
    Add Mixtral 8X7b to the models.md and run-llm.sh
  • Issue#60alabulei12024-01-02 11:44
    Add Mixtral 8X7b to the models.md and run-llm.sh
  • Issue comment#59alabulei12024-01-02 11:29
    question: Running (small) LLMs on RaspberryPI 5
  • Issue comment#59alabulei12024-01-02 11:28
    question: Running (small) LLMs on RaspberryPI 5
  • Issue comment#59ChristianWeyer2024-01-02 11:04
    question: Running (small) LLMs on RaspberryPI 5
  • Issue comment#59ChristianWeyer2024-01-02 10:56
    question: Running (small) LLMs on RaspberryPI 5
  • Releasegithub-actions[bot]2024-01-02 10:43
    b1015
  • Pull request#64apepkuss2024-01-02 10:42
  • Pull request#64apepkuss2024-01-02 09:56
  • Pull request#63apepkuss2024-01-02 09:44
  • Pull request#63apepkuss2024-01-02 09:44
  • Issue comment#56katopz2024-01-02 08:06
    question: Support embedding?
  • Issue comment#56alabulei12024-01-02 07:52
    question: Support embedding?

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 127 stars here means stars gained during the window, not the repo's star count.