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tonyd2wild/DeepSeek-v4-Flash-DSpark-60-tok-s-900K-ctx-2x-DGX-Spark

Self-contained DeepSeek V4 Flash DSpark TP=2 recipe for 2x DGX Spark with 62 tok/s benchmark

#LLM inference
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Python
24
2
1 contributors
MIT License
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Momentum

How fast tonyd2wild/DeepSeek-v4-Flash-DSpark-60-tok-s-900K-ctx-2x-DGX-Spark 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

Aug 27 – Oct 26, 2026

Stars +0 in 61 days

01

Forks +1 in 61 days

01
1

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

Aug 27Sep 4Sep 12Sep 20Sep 28Oct 6Oct 14Oct 22
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
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Total+0+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 291 post

    • llama.cpp native DFlash support landed in ggml-org/llama.cpp PR #22105. Source: Draft model: Convenience GGUF drafts: Why it matters: DFlash is not another weight quant. It is a block-diffusion…

      Read full on X, posted by @bussyjd

      @bussyjd · x.com

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