| Ported Qwen3 TTS to llama.cpp Just a demo; not gonna get merged any time soon since llama.cpp does not currently support graph composition or APIs that extract intermediate hidden states from mid-graph and hand them to another model's graph. Ideally one could select where to pin specific graphs CPU vs GPU vs NPU. [link] [comments] |
Qwen3-TTS ported to llama.cpp
Reddit r/LocalLLaMA / 3/20/2026
📰 NewsDeveloper Stack & InfrastructureTools & Practical UsageModels & Research
Key Points
- Qwen3-TTS has been ported to llama.cpp and is shown in a GitHub pull request (ggml-org/llama.cpp/pull/20752) with a Reddit demo.
- The author emphasizes this is just a demonstration and not expected to be merged soon because llama.cpp currently lacks graph composition support and APIs to hand off intermediate hidden states between models.
- There is discussion about potential future capabilities such as pinning specific graphs to CPU, GPU, or NPU to optimize performance.
- The post illustrates ongoing experimentation to run TTS models within the llama.cpp ecosystem, highlighting existing limitations and possible future workflows.
Related Articles

ベテランの若手育成負担を減らせ、PLC制御の「ラダー図」をAIで生成
日経XTECH

Your AI generated code is "almost right", and that is actually WORSE than it being "wrong".
Dev.to

Lessons from Academic Plagiarism Tools for SaaS Product Development
Dev.to

Windsurf’s New Pricing Explained: Simpler AI Coding or Hidden Trade-Offs?
Dev.to

Building Production RAG Systems with PostgreSQL: Complete Implementation Guide
Dev.to