dflash

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