LeanModels / DFloat11
DFloat11 [NeurIPS '25]: Lossless Compression of LLMs and DiTs for Efficient GPU Inference
Why this job: matched by what the repo talks about: inference, llm, gpu, efficient
What it does
Requires a CUDA-compatible GPU (with CUDA 12) and PyTorch installed.
Get started
pip install -U dfloat11[cuda12]- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 665
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 80% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 37% closed
- 24 still open
- Pull requests
- 1 merged
- 1 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics, project record and preview image
Languages
- Python 80%
- Cuda 20%
Topics
- compression
- gpu
- llm
- lossless-compression-algorithm
- diffusion-models
Project record
- JobLocal LLMs
- StatusListed
- Commits12
- Forks40
- Watching13
- Stars in 28 days+5
- CreatedApr 15, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026