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thc1006/qwen3.6-speculative-decoding-rtx3090

llama.cpp speculative decoding measured on one RTX 3090, Qwen3.6-35B-A3B UD-Q4_K_XL, commit 3737e4137. Published figures are re-derived from the committed data by a checker that fails on drift, a coverage probe reports how many of them it actually covers, and ERRATA.md lists this study's own retracted claims.

#LLM evaluation
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Python
35
2
1 contributors
MIT License
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Momentum

How fast thc1006/qwen3.6-speculative-decoding-rtx3090 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

Oct 20 – Nov 5, 2026

Stars +0 in 17 days

01

Forks +0 in 17 days

01

Merged PRs 1 in 17 days

01
1

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

Not in the Trendshift top 25 in this period

Oct 20Oct 23Oct 26Oct 29Nov 1Nov 4
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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  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Sep 241 post
    • I love a benchmark that corrects itself: 100% draft acceptance was a counting artifact. Its RTX 3090 Qwen3.6-35B-A3B runs favor leaving the external drafter off.

      Read full on X, posted by @sakurayukiai

      @sakurayukiai · x.com

  2. 18 days earlier
  3. Sep 61 post
    • On a 3090, speculation worked when Qwen3.6-35B-A3B drafted from its own layers: DFlash gained 17% to 27%. A vocab-incompatible 0.8B drafter lost 75%. Next useful test: current llama.cpp at batch 4,…

      Read full on X, posted by @sakurayukiai

      @sakurayukiai · x.com

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