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slojoe4real/TX-VOICE
TX-VOICE is a text-to-speech model from slojoe4real. Use it when you need text read aloud. It is set up for candle. The card lists the license as apache-2.0.
Private voice AI that runs entirely on your machine. No cloud. No latency. No data leaving your device.
Downloads · 30 days
16
15% of all-time downloads
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From the Hugging Face model README
Private voice AI that runs entirely on your machine. No cloud. No latency. No data leaving your device.
TX-VOICE is TARX's voice model optimized for local execution. Built on the Moshi architecture and quantized to Q8 for efficient inference on consumer hardware.
| Spec | Value |
|---|---|
| Size | 7.2 GB |
| Format | GGUF Q8 |
| Architecture | Moshi (Kyutai) |
| Min RAM | 16 GB |
| Recommended | 32 GB+ RAM, Apple Silicon or NVIDIA GPU |
TX-VOICE is automatically configured in TARX Workbench. Just enable voice in settings.
# Clone the tarx-voice service
git clone https://github.com/tarx-ai/tarx-voice
cd tarx-voice
# Build and run
cargo build --release
./target/release/tarx-voice --model TX-VOICE
TX-VOICE runs on port 11438 by default:
const ws = new WebSocket('ws://localhost:11438');
ws.send(JSON.stringify({ text: "Hello, world!" }));
| Hardware | Performance |
|---|---|
| Apple M1/M2/M3/M4 | Excellent (Metal acceleration) |
| NVIDIA RTX 30/40 | Excellent (CUDA acceleration) |
| Intel/AMD CPU | Good (AVX2 optimized) |
TX-VOICE integrates with:
Based on Kyutai's Moshi model, optimized for local inference:
Apache 2.0 - Free for personal and commercial use.
Part of the TARX local-first AI platform.
TX-8G | TX-12G | TX-16G | TX-M-72B | TX-VOICE