ggml-org/llama.cpp

Feature Request: support Qwen3-omni, Qwen3-TTS and MiniCPM-o

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#17,634 建立於 2025年12月1日

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Review Complexity : Highenhancementgood first issuehelp wantedmtmdtts

描述

Prerequisites

  • I am running the latest code. Mention the version if possible as well.
  • I carefully followed the README.md.
  • I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
  • I reviewed the Discussions, and have a new and useful enhancement to share.

Feature Description

support qwen omni audio generator

Motivation

currently omni can work but it does not provide a whisper-like api for tts and it does not support asr.

Possible Implementation

https://github.com/ggml-org/llama.cpp/issues/16885 https://github.com/ggml-org/llama.cpp/issues/16186 https://github.com/ggml-org/llama.cpp/issues/11347

貢獻者指南

技術棧
cpp
領域
backendmachine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
4
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
over 1 week
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
active
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
C++model architecture understandingaudio processingmultimodal ML
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
20
研究方向
The issue requests support for Qwen3 omni, Qwen3 TTS, and MiniCPM o in llama.cpp. It links to other issues (#16885, #16186, #11347) that may provide context. To implement, first understand the existing multimodal support in llama.cpp by examining files like `examples/` or `ggml *` components. Look at how whisper integration is done for a reference API. The implementation will require adding new model architectures and possibly audio processing code.