Voxtral
Collection
Mistral AI Audio models in GGUF. • 3 items • Updated
GGUF builds of mistralai/Voxtral-Small-24B-2507 for voxtral.cpp, a ggml-based C++ runtime (Metal / CUDA / Vulkan / CPU).
The offline Voxtral model is a Whisper-style audio encoder + Mistral-Small-24B decoder that transcribes by generating text tokens. Higher quality than the 3B Mini, at a larger size.
| File | Approx size | Notes |
|---|---|---|
Q6_K |
~20 GB | highest quality here |
Q5_K |
~17 GB | high quality |
Q4_K_M |
~15 GB | recommended — best size/quality trade-off |
Q4_0 |
~14 GB | smaller |
Q3_K |
~11 GB | smallest, some quality loss |
# build voxtral.cpp, then:
./build/voxtral --model Q4_K_M.gguf --audio clip.wav --gpu metal
16 kHz mono WAV; long audio is transcribed in 30 s windows. GPU auto-detected
(--gpu metal|cuda|vulkan|none). Needs a GPU/RAM budget of ~15 GB+ for Q4_K_M.
Apache 2.0, inherited from the base model.
4-bit
6-bit
8-bit
Base model
mistralai/Mistral-Small-24B-Base-2501