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Achievement: QuickdrawAchievement: Pair Extraordinairex3Achievement: Galaxy BrainAchievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex3Achievement: Galaxy BrainAchievement: YOLOAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Organizations

@huggingface @bitsandbytes-foundation

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  1. bitsandbytes-foundation/bitsandbytes Public

    Accessible large language models via k-bit quantization for PyTorch.

    Python 6.9k 687

  2. huggingface/accelerate Public

    🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

    Python 8.6k 1.1k

204 contributions in the last year

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Activity overview

Contributed to bitsandbytes-foundation/bitsandbytes, huggingface/transformers, bitsandbytes-foundation/bitsandbytes-intel and 9 other repositories
Loading A graph representing matthewdouglas's contributions from April 14, 2024 to April 17, 2025. The contributions are 44% commits, 28% code review, 22% pull requests, 6% issues.

Contribution activity

April 2025

Created 15 commits in 2 repositories

Created a pull request in bitsandbytes-foundation/bitsandbytes that received 1 comment

Fix torch.compile issue for LLM.int8() with threshold=0

Allows compilation of int8 quantized modules without graph breaks (when threshold=0).

+8 −1 lines changed • 1 comment
Opened 4 other pull requests in 1 repository
bitsandbytes-foundation/bitsandbytes 2 open 2 merged
Reviewed 3 pull requests in 1 repository
bitsandbytes-foundation/bitsandbytes 3 pull requests
Opened 1 issue in 1 repository
bitsandbytes-foundation/bitsandbytes 1 open
1 contribution in private repositories Apr 15
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