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newgrit1004/qwen3-tts-triton

Triton kernel fusion for Qwen3-TTS 1.7B inference acceleration — RMSNorm, SwiGLU, M-RoPE, Norm+Residual

#LLM inference
Visit GitHub
Python
109
7
2 contributors
Apache License 2.0
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Momentum

How fast newgrit1004/qwen3-tts-triton 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 3 – Oct 22, 2026

Stars +5 in 50 days

01
1

Forks +0 in 50 days

01

Merged PRs 0 in 50 days

01

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

Not in the Trendshift top 25 in this period

Sep 3Sep 10Sep 17Sep 24Oct 1Oct 8Oct 15Oct 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
Thu, Sep 3, 2026+1+00
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Total+5+00
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jun 302 posts

    • Qwen3-TTS-Triton v0.3.0 — faster local Qwen3-TTS serving for RP / SillyTavern-style workflows

      Read full on Reddit

      r/SillyTavernAI

    • Qwen3-TTS-Triton v0.3.0: Triton + CUDA Graph + batched AR TTS serving, ~14× per-sample throughput

      Read full on Reddit

      r/speechtech

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