Appendix (Beginner-friendly)

If this is your first time dealing with “model downloads / local LLMs / cloud APIs”, follow the steps below.

Appendix A: ModelScope (Model Downloads)

When you need it: Download local STT (SenseVoice) and local TTS (Qwen3-TTS / Index-TTS2) model files.

Official docs: https://www.modelscope.cn/docs/

1) Do I need to sign up?

Most public models can be downloaded without login. If you see an access/permission error, you typically need to log in on ModelScope and request access as prompted.

2) Check your OS / CPU architecture

• Windows: Settings → System → About → System type; or PowerShell $env:PROCESSOR_ARCHITECTURE
• macOS: Apple menu → About This Mac → Chip; or Terminal uname -m
• Linux: Terminal uname -m

3) Install ModelScope CLI

The download command comes from the ModelScope CLI (requires Python + pip):

pip install modelscope
modelscope --help

4) Find models (optional)

Use the ModelScope website search, open the model page, and copy the model ID.

5) Download examples (aligned with this manual)

modelscope download --model iic/SenseVoiceSmall --local_dir ./SenseVoiceSmall
modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-Base --local_dir ./Qwen/Qwen3-TTS-12Hz-1.7B-Base
modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice --local_dir ./Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
modelscope download --model Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign --local_dir ./Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
modelscope download --model IndexTeam/IndexTTS-2 --local_dir ./IndexTeam/IndexTTS-2

6) Where do I set the path in Boundless Flow?

• STT Model Directory: point to the SenseVoice download folder
• TTS Model Directory: point to the specific TTS model folder you want to use

Appendix B: Ollama (Local LLMs for Translation / Summary)

When you need it: Run translation/proofreading/summary models locally. Boundless Flow calls an OpenAI-compatible API (typical Base URL: http://localhost:11434/v1).

Official docs: https://docs.ollama.com/

1) Install

Follow the official “Download / Get started” instructions for your OS and CPU architecture.

2) Verify

ollama --version

3) Pull models (aligned with this manual)

ollama pull ZimaBlueAI/HY-MT1.5-1.8
ollama pull qwen3:4b

4) Suggested settings in Boundless Flow

• Translation: Base URL http://localhost:11434/v1, Model ZimaBlueAI/HY-MT1.5-1.8
• Proofreading/Summary: Base URL http://localhost:11434/v1, Model qwen3:4b

Appendix C: Volcengine Cloud TTS

When you need it: Use Volcengine cloud voices / higher quality TTS / voice replication features.

Useful links:

• Volcengine TTS product page
• Speech docs hub
• VoiceType list

1) Do I need to sign up?

Yes. You need a Volcengine account and enabled speech services in the console.

2) What info do I need?

• AppId
• Token
• Cluster (e.g. volcano_tts / volcengine_tts, depends on your console)
• VoiceType (pick from the VoiceType list)

3) Minimal setup in Boundless Flow

1. Settings → TTS Model: select Volcengine TTS
2. Choose HTTP mode
3. Fill AppId / Token / Cluster / VoiceType
4. Synthesize a short sentence to verify audio output