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Voxtral-Small-24B-2507-gguf

by handy-computer · source Hugging Face · updated 2026-09-15

apache-2.013 GB~16 GB RAMsource aliveunlabeled

Voxtral-Small-24B-2507: transcribe.cpp GGUF

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Numbers

Numbers as of 2026-10-02 20:59 UTC, from the source API.

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Files

filequantsize
Voxtral-Small-24B-2507-BF16.ggufBF1645 GB
Voxtral-Small-24B-2507-F16.ggufF1645 GB
Voxtral-Small-24B-2507-Q4_K_M.ggufQ4_K_M13 GB
Voxtral-Small-24B-2507-Q5_K_M.ggufQ5_K_M16 GB
Voxtral-Small-24B-2507-Q6_K.ggufQ6_K19 GB
Voxtral-Small-24B-2507-Q8_0.ggufQ8_024 GB

From the source README

Voxtral-Small-24B-2507: transcribe.cpp GGUF

GGUF conversions of mistralai/Voxtral-Small-24B-2507 for use
with transcribe.cpp.

Ported from upstream commit
da5b424,
pinned 2026-06-05.
Validated against the Transformers reference at transcribe.cpp commit
dac22fa
on 2026-06-05.

Offline audio-LLM speech-to-text and speech translation. A Whisper-large-v3
bidirectional audio encoder feeds a 4-frame-group projector (375 audio tokens
per 30 s chunk) into a Mistral-Small-24B causal LM (40 layers, GQA 32/8, NEOX
RoPE, SwiGLU) via audio-token injection. Takes a 16 kHz mono WAV and produces a
transcript via greedy decoding. The larger sibling of Voxtral Mini 3B — same
encoder, projector, frontend, and tokenizer, with a scaled-up decoder.

Downloads

| Quantization | Download | Size | WER (LibriSpeech test-clean) |
| --- | --- | ---: | ---: |
| BF16 | Voxtral-Small-24B-2507-BF16.gguf | 48.54 GB | 1.56% |
| F16 | Voxtral-Small-24B-2507-F16.gguf | 48.55 GB | 1.57% |
| Q8_0 | Voxtral-Small-24B-2507-Q8_0.gguf | 25.81 GB | 1.56% |
| Q6_K | Voxtral-Small-24B-2507-Q6_K.gguf | 19.94 GB | 1.58% |
| Q5_K_M | [Voxtral-Small-24B-2507-Q5_K_M.gguf](https://huggingface.co/handy-computer/Voxtral-Small-24B-2507-gguf/re…

Source: https://huggingface.co/handy-computer/Voxtral-Small-24B-2507-gguf

Card id model:hf:handy-computer/Voxtral-Small-24B-2507-gguf · collected 2026-10-02 20:59 UTC · JSON