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Voxtral Small 24B 2507 by mistralai

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Voxtral Small 24B 2507 is an open-source language model by mistralai. Features: 24b LLM, VRAM: 48.7GB, Context: 32K, License: MNPL-0.1, LLM Explorer Score: 0.34.

  Arxiv:2507.13264   Audio-text-to-text Base model:finetune:mistralai/... Base model:mistralai/mistral-s...   De   En   Es   Fr   Hi   It   Nl   Pt   Region:us   Safetensors   Sharded   Tensorflow   Vllm   Voxtral
Model Card on HF 🤗: https://huggingface.co/mistralai/Voxtral-Small-24B-2507 

Voxtral Small 24B 2507 Benchmarks

LLME Score: 0.34363
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Voxtral Small 24B 2507 (mistralai/Voxtral-Small-24B-2507)
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Voxtral Small 24B 2507 Parameters and Internals

LLM NameVoxtral Small 24B 2507
Repository 🤗https://huggingface.co/mistralai/Voxtral-Small-24B-2507 
Base Model(s)  Mistral Small 24B Base 2501   mistralai/Mistral-Small-24B-Base-2501
Model Size24b
Required VRAM48.7 GB
Updated2026-04-02
Maintainermistralai
Model Files  48.5 GB   5.0 GB: 1-of-11   4.8 GB: 2-of-11   4.8 GB: 3-of-11   4.9 GB: 4-of-11   4.8 GB: 5-of-11   4.8 GB: 6-of-11   4.9 GB: 7-of-11   4.8 GB: 8-of-11   4.8 GB: 9-of-11   3.7 GB: 10-of-11   1.4 GB: 11-of-11
Supported Languagesen fr de es it pt nl hi
Model ArchitectureMambaSSM
LicenseMNPL-0.1
Context Length32768
Model Max Length32768
Vocabulary Size131072

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Magistral Small 2509128K / 48.2 GB8112259
...istral Small 3.1 24B Base 2503128K / 48.2 GB8951271
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Note: green Score (e.g. "73.2") means that the model is better than mistralai/Voxtral-Small-24B-2507.

Rank the Voxtral Small 24B 2507 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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