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// OWNER · z-lab · REPO SNAPSHOT
z-lab
DFlash: Block Diffusion for Flash Speculative Decoding
z-lab//STAR HISTORY · 12M
DFlash: Block Diffusion for Flash Speculative Decoding
Block Diffusion for Flash Speculative Decoding Paper Blog Models DFlash is a lightweight block diffusion model designed for speculative decoding. It enables efficient and high quality parallel drafting. It has reached 4,707 GitHub stars, written primarily in Python.
Why now: Recent coverage — "DFlash: Block Diffusion for Flash Speculative Decoding - GitHub" — alongside renewed developer interest is driving current visibility.
- 4,707 GitHub stars, 335 forks — verifiable at github.com/z-lab/dflash.
- Primary language Python.
- Licensed MIT.
- Third-party coverage: "DFlash: Block Diffusion for Flash Speculative Decoding - GitHub".
Considerations: Solid adoption (4,707 stars) but quiet cross-source signal right now — established utility more than a current breakout.
EARLY MOMENTUM · Research: Adoption is real but cross-source confirmation is thin — a short hands-on trial (Python) will tell you more than the metrics.
Sources: z-lab/dflash on GitHub · Project homepage · DFlash: Block Diffusion for Flash Speculative Decoding · ICML Poster DFlash: Block Diffusion for Flash Speculative Decoding
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
// RELATED REPOS · CROSS-SOURCE OVERLAP
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1311110▌ FAQ · answers from the data spine
What is z-lab/dflash?
Who maintains dflash?
What language is dflash written in?
When was dflash created? When was the last update?
How do I install dflash?
git clone https://github.com/z-lab/dflash.git
//COMMENTS · 0
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