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Qualcomm-AI-research/FP8-quantization

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Paper code of FP8 Quantization: The Power of the Exponent

active 2023-08-262026-01-22 (UTC)

Complete coverage26,582 / 26,582 hourly files (100%) · 2 absent upstream2023-08-152026-08-26 (UTC)
Events
140
Pushes
0
Pull requests
0
Issues
3
Stars
123
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 881 days from 2023-08-26 to 2026-01-22. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 4 total, peak 2 in a day. Stars: 123 total, peak 4 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
xuann62001
Ther-nullptr2002
Gaw4Gura1000
doobluhc1000
akuzmin-qc1001

Recent activity

Latest issues, pull requests and releases

  • Issue#5doobluhc2024-03-11 20:24
    Maximum value
  • Issue#4Gaw4Gura2023-10-19 09:36
    Is the Format Includes Zero?
  • Issue comment#3xuann62023-09-22 02:27
    Train/Inference Random Model using this Library.
  • Issue comment#3Ther-nullptr2023-09-09 12:47
    Train/Inference Random Model using this Library.
  • Issue comment#3Ther-nullptr2023-09-09 12:46
    Train/Inference Random Model using this Library.
  • Issue comment#3akuzmin-qc2023-09-08 09:46
    Train/Inference Random Model using this Library.
  • Issue#3xuann62023-08-28 10:14
    Train/Inference Random Model using this Library.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 123 stars here means stars gained during the window, not the repo's star count.