Family Mistral · 4B parameters★ Made in France

Voxtral-4B-TTS

Open-frontier TTS, 9 languages including FR. Rivals ElevenLabs. ⚠ Non-commercial.

🇫🇷 Mistral AI·License CC-BY-NC 4.0·Context 4k tokens·Output March 2026·Fits within the 128 GB of the GIGABYTE AI TOP ATOM← Catalog

01What it can do

Strengths
  • Open studio-quality TTS
  • Native French
  • Runs on a laptop
Limitations to know
  • —⚠ CC-BY-NC license (non-commercial)
  • —Not a conventional text LLM
Architecture
Open frontier TTS · 4B · 9 languages
Training
Direct competitor to ElevenLabs.
Ideal for
French text-to-speechVoice-over

04Install

Install Ollama for your OS. Check the model and its quantization before downloading. Start with 4096 tokens of context, then check placement with ollama ps. A command below is not proof that a test was run on your machine.

$# HuggingFace : mistralai/Voxtral-4B-TTS-2603
⚠
First download: between 2 and 40 GB depending on the selected quantization. Plan for sufficient disk space; a stable connection is recommended. Subsequent launches are instant.

02Required memory

Approximate GPU VRAM required to run this model, including 4k tokens of context overhead. For a longer context, add ~1 GB per 8k-token increment.

Q4_K_M
The lightest, ~5% loss
3 GB
Q5_K_M
Good quality/size compromise
3.5 GB
Q8_0
Nearly indistinguishable from FP16
5 GB
FP16
Full precision — server use
8 GB
Fallback CPU · If you don't have a GPU, allow 6 GB of RAM minimum to run this model at reduced speed.

What hardware do you need for Voxtral-4B-TTS?

To run Voxtral-4B-TTS locally with Q4 quantization, you need about 3 GB of VRAM. An option to compare: RTX 5060 Ti 16GB (ASUS Prime) — leave some headroom for the system and context; check engine compatibility with the GPU.

Current offer: RTX 5060 Ti 16GB (ASUS Prime)
AmazonSee price →

Affiliate links — commission possible at no extra cost to you; independent recommendations. As an Amazon Associate, BestLLMfor earns from qualifying purchases.

On the go: Voxtral-4B-TTS also runs on a RTX laptop PC (16 GB of VRAM) →

This model in your private ChatGPT, without the cloud

Your private ChatGPT, free, on your own machine in an hour — LM Studio, Ollama, Open WebUI, your documents, no cloud.

  • Lifetime online access
  • PDF + files
  • Lifetime updates

03Expected speed

Tokens generated per second in Q4_K_M, 4k context. Beyond 20 t/s, reading is comfortable. Below 10 t/s, that's just for testing.

Entry-level
~22t/s
GTX 1650, RX 6600, MBA M2 8GB
Mid-range
~65t/s
RTX 4060, 4070, MBP M3 Pro
High-end
~150t/s
RTX 4090, M4 Max, Radeon 7900