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fix(mlx): point Qwen 0.6B at the published mlx-community repo (#501)

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The 0.6B slot was aliased to the 1.7B repo as a temporary fallback
because `mlx-community/Qwen3-TTS-12Hz-0.6B-Base-bf16` wasn't published
when MLX support shipped. That conversion is live now, so use it —
Apple Silicon users picking 0.6B get the actual 0.6B model (1.2 GB
instead of 3.5 GB).

Also drops the now-obsolete troubleshooting entry and updates the
triage notes in PROJECT_STATUS.md.

Fixes #485.

Co-authored-by: Claude Opus 4.7 (1M context) <[email protected]>
This commit is contained in:
Jamie Pine
2026-04-19 19:22:15 -07:00
committed by GitHub
co-authored by Claude Opus 4.7
parent e3f7cd9d00
commit 8929947c7a
5 changed files with 5 additions and 25 deletions
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docs/content/docs/overview/troubleshooting.mdx
-14
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@@ -446,20 +446,6 @@ Restart the app to create a fresh database.
huggingface-cli download Qwen/Qwen3-TTS-12Hz-1.7B-Base
```
### Qwen 0.6B Downloads the Same Files as 1.7B on Apple Silicon
**Symptoms:**
- You select Qwen 0.6B on an Apple Silicon Mac and the download is the same size as 1.7B
- Generation speed and VRAM usage match 1.7B, not the expected smaller model
**Explanation:**
This is intentional, not a bug. The MLX community only publishes `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` — there is no 0.6B MLX build. Voicebox's model registry falls back to the 1.7B weights when 0.6B is selected on MLX (see `backend/backends/__init__.py`).
**Solution:**
- On Apple Silicon, both size options use the 1.7B model — pick either.
- If you specifically need a smaller model, switch to **Kokoro 82M** (~350 MB) or **LuxTTS** (~300 MB) — both CPU-realtime.
- On Windows/Linux with PyTorch, 0.6B and 1.7B are distinct repos and behave differently.
### Wrong Model Version
**Symptoms:**