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cs2764/mlx-quantization

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MLX Model Quantization Toolkit - Comprehensive collection of Jupyter notebooks for converting and quantizing large language models using Apple's MLX framework, optimized for Apple Silicon devices.

active 2025-07-30 → 2025-10-28 (UTC)

Partial coverage11,492 / 12,490 hourly files (92%) · 2 absent upstream · 994 failed, retryable2025-03-08 → 2026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
13
Pushes
2
Pull requests
0
Issues
1
Stars
8
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 91 days from 2025-07-30 to 2025-10-28. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 8 total, peak 3 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
cs27642200
ivanfioravanti1000

Recent activity

Latest issues, pull requests and releases

  • Issue#1ivanfioravanti2025-08-01 22:24
    Learning rate too high in DWQ

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 8 stars here means stars gained during the window, not the repo's star count.