Qwen-family LLMs are quietly becoming the backbone of modern audio models; One chart for the architectures of 100+ audio models
Summary
The article analyzes over 100 audio models and finds that Qwen-family LLMs, especially Qwen3, are widely used as language backbones across various audio tasks like TTS, ASR, and music generation.
Similar Articles
Qwen3-TTS Technical Report
The Qwen3-TTS technical report introduces a series of advanced multilingual text-to-speech models with voice cloning and controllable generation, featuring a dual-track LM architecture and specialized tokenizers for low-latency streaming.
Qwen-Music Technical Report
Qwen-Music is a music generation model that produces high-fidelity songs with vocals, supporting text-to-music and cover song generation. It uses a novel Melody-Chain-of-Thought mechanism and achieves state-of-the-art results on 13 of 16 objective metrics.
Qwen3.5 122B is the best?
A user shares their experience comparing several large language models (Qwen, Gemma) on complex tool-calling tasks, finding Qwen3.5 122B the most reliable, while criticizing smaller MoE models for instability.
QWEN3.6 + ik_llama is fast af
User reports successful deployment of Qwen 3.6 with ik_llama quantization achieving 50+ tokens/second on consumer hardware (16GB VRAM, 32GB RAM) with 200k context window.
Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
Alibaba's Qwen team releases Qwen3-TTS-12Hz-1.7B-CustomVoice, a powerful text-to-speech model supporting 10 languages with low-latency streaming, instruction-based voice control, and robust contextual understanding.