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z-lab/dflash

DFlash: Block Diffusion for Flash Speculative Decoding

Visit GitHub
Python
6.2k
478
4 contributors
MIT License
website
AchievementsView all →
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Momentum

How fast z-lab/dflash is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 6 – Nov 5, 2026

Stars +169 in 61 days

0510
10

Forks +25 in 61 days

0123
3

Merged PRs 0 in 61 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 6Sep 14Sep 22Sep 30Oct 8Oct 16Oct 24Nov 1
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
Sun, Sep 6, 2026+2+00
Mon, Sep 7, 2026+2+20
Tue, Sep 8, 2026+4+10
Wed, Sep 9, 2026+7+00
Thu, Sep 10, 2026+2+10
Fri, Sep 11, 2026+6+10
Sat, Sep 12, 2026+0+10
Sun, Sep 13, 2026+1+00
Mon, Sep 14, 2026+9+00
Tue, Sep 15, 2026+5+10
Wed, Sep 16, 2026+5+10
Thu, Sep 17, 2026+3+10
Fri, Sep 18, 2026+3+00
Sat, Sep 19, 2026+1+00
Sun, Sep 20, 2026+3+00
Mon, Sep 21, 2026+4+00
Tue, Sep 22, 2026+5+00
Wed, Sep 23, 2026+4+10
Thu, Sep 24, 2026+1+00
Fri, Sep 25, 2026+3+00
Sat, Sep 26, 2026+0+10
Sun, Sep 27, 2026+2+00
Mon, Sep 28, 2026+3+00
Tue, Sep 29, 2026+3+10
Wed, Sep 30, 2026+1+00
Thu, Oct 1, 2026+1+00
Fri, Oct 2, 2026+0+10
Sat, Oct 3, 2026+3+00
Sun, Oct 4, 2026+1+00
Mon, Oct 5, 2026+2+00
Tue, Oct 6, 2026+1+00
Wed, Oct 7, 2026+1+10
Thu, Oct 8, 2026+4+00
Fri, Oct 9, 2026+2+00
Sat, Oct 10, 2026+3+10
Sun, Oct 11, 2026+0+00
Mon, Oct 12, 2026+4+00
Tue, Oct 13, 2026+2+00
Wed, Oct 14, 2026+5+00
Thu, Oct 15, 2026+10+10
Fri, Oct 16, 2026+5+00
Sat, Oct 17, 2026+2+00
Sun, Oct 18, 2026+2+10
Mon, Oct 19, 2026+4+00
Tue, Oct 20, 2026+3+00
Wed, Oct 21, 2026+2+00
Thu, Oct 22, 2026+5+10
Fri, Oct 23, 2026+3+30
Sat, Oct 24, 2026+3+10
Sun, Oct 25, 2026+2+00
Mon, Oct 26, 2026+5+00
Tue, Oct 27, 2026+1+00
Wed, Oct 28, 2026+1+10
Thu, Oct 29, 2026+2+10
Fri, Oct 30, 2026+1+10
Sat, Oct 31, 2026+1+00
Sun, Nov 1, 2026+0+00
Mon, Nov 2, 2026+0+00
Tue, Nov 3, 2026+5+00
Wed, Nov 4, 2026+0+00
Thu, Nov 5, 2026+4+00
Total+169+250
  • 1#1 on the list
  • 7Rank that day
  • Not trending
2

    • GitHub trending history

    Where the repository ranked on GitHub Trending, one dot for each day it was on a list

    Apr 16 – May 8, 2026Best #3

    #1#5#10#15#20#25
    Top 10
    Apr 9, 2026May 8, 2026
    The left and right arrow keys step from day to day; Home and End go to the first and the last

    Mentions and achievements

    Where people are talking about z-lab/dflash, and every badge it has earned
    1. Aug 201 post

      • 强悍，DFlash 2 发布了。 在 M5 Max MacBook Pro 上，Qwen3.8-27B 跑到 70 tok/s，最高达到自回归解码的 4.6倍速度，且输出完全一致（无损）。 核心改进很务实： - 轻量路径选择器从并行候选中挑出连贯路径 - 双 Tap 卷积有效缓解草稿后缀衰减 - 每轮验证额外延迟约1%，却多接受一个 token DFlash 系列 HF 累计下载已超 350…

        Read full on X, posted by @hank_aibtc

        @hank_aibtc · x.com

    2. Aug 191 post

      • Laguna XS/S hardware split: APEX GGUF + mixed NVFP4/MXFP8 Sources: Laguna already mattered for coding-agent work. The Aug 19 update is fit: one path makes XS practical on 16GB/Metal GGUF rigs; the…

        Read full on X, posted by @bussyjd

        @bussyjd · x.com

    3. Aug 181 post

      • and here's the comparison w/ dflash (1). i.e fwd + token selection is different.

        Read full on X, posted by @vincentzed_cuda

        @vincentzed_cuda · x.com

    4. 7 days earlier
    5. Aug 111 post

      • Muse Glimmer 30B model comes with a DFlash drafter and speeds up token generation 2-4x. But, what is a DFlash drafter and how does it actually speeds up the token generation? LLM models generate one…

        Read full on X, posted by @SandipanKundu42

        @SandipanKundu42 · x.com

    6. 28 days earlier
    7. Jul 141 post

      • PrismML’s new Ternary Qwen3.6 27B runs near fp16 precision on 10GB of memory!!!

        Read full on Reddit

        r/LocalLLaMA

    8. 20 days earlier
    9. Jun 241 post

      • DFlash Speculative Decoding Drafts Whole Token Blocks in Parallel for Up to 15x Higher Throughput on NVIDIA Blackwell

        Read full on Reddit

        r/machinelearningnews

    10. 7 days earlier
    11. Jun 171 post

      • 有一个叫 dflash 的项目，能把 Gemma 4 的推理速度直接拉到 6 倍左右。谷歌官方优化大概也就 3 倍，同时质量还没什么明显损失。 差距确实不是一星半点。 🔗

        Read full on X, posted by @cevenif

        @cevenif · x.com

    12. 8 days earlier
    13. Jun 91 post

      • 有一个叫 dflash 的项目，能把 Gemma 4 的推理速度提升到 6 倍左右。谷歌官方优化大概是 3 倍，同时质量没有明显损失。 差距确实不小。 🔗

        Read full on X, posted by @GYLQ520

        @GYLQ520 · x.com

    14. 8 days earlier
    15. Jun 11 post

      • 149/365 of GPU Programming Been seeing a lot of people talking DFlash recently, so wanted to spend time today learning more about what it is. Luckily stumbled across Eleuther's ML Performance Reading…

        Read full on X, posted by @levidiamode

        @levidiamode · x.com

    16. May 311 post

      • 有一个叫 dflash 的项目，能把 Gemma 4 的推理速度提升到 6 倍左右。谷歌官方优化大概是 3 倍，同时质量没有明显损失。 差距确实不小。 🔗

        Read full on X, posted by @XAMTO_AI

        @XAMTO_AI · x.com

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