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SoundScript: Offline LLM + TTS in a Desktop Studio

This story is from 2026-10-02. It is preserved in the archive; the latest stories are on the live feed.

It's a desktop TTS studio for Windows and Linux that ships with four engines — two cloud, two local. 1. What makes it different? Anhad — Local TTS — Kokoro 82M (ONNX) — ~340 MB Nuqta — Local LLM — Qwen via llama.cpp — 400 MB – 2.5 GB Anhad runs entirely on CPU — no GPU required. 2. Why offline matt…

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  1. 2026-10-02 10:00 · DEV Community — AI
    SoundScript: Offline LLM + TTS in a Desktop Studio

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  1. Benchmarks: Best engine for Qwen 3.8-Flash-Next on Strix Halo — r/LocalLLM
  2. add GLM-5.3-Flash (GLM5-Next) support by timkhronos · Pull Request #27773 · ggml-org/llama.cpp — r/LocalLLaMA
  3. Browser FPS with 3D models, textures and SFX generated locally on one GPU, plus a local Qwen 27B for part of the code: my pipeline and what failed — r/LocalLLM
  4. Who’s the current “king” of local LLMs for you — Qwen, Gemma, Llama, something else? — r/LocalLLM
  5. Which LLM is best for coding/agents if I have dual R9700 GPUs? — r/LocalLLM
  6. Used Opus 5.5 to optimize llama.cpp inference for Swift Qwen 3.8 27B Q6_K on RTX 5090 - decode 143 tok/s prefill 2840 tok/s — r/LocalLLM
  7. Qwen 3.8 27B on a single 3090: 114 min solo, 43 min as a worker under a GPT 6.1 SOL orchestrator — r/LocalLLM
  8. Qwen 3.8 27B Q4 with 100K context on a 16 GB RX 7800 XT guide — r/LocalLLaMA

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