Mistralai/Voxtral-Mini-3B-2507 · Hugging Face

Summary

Voxtral Mini 1.0 (3B) - 2507 Voxtral Mini is an enhancement of Ministral 3B, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Learn more about Voxtral in our blog post here. Key Features Voxtral builds upon Ministral-3B with powerful audio understanding capabilities. Dedicated transcription mode: Voxtral can operate in a pure speech transcription mode to maximize performance. By default, Voxtral automatically predicts the source audio language and transcribes the text accordingly Long-form context: With a 32k token context length, Voxtral handles audios up to 30 minutes for transcription, or 40 minutes for understanding Built-in Q&A and summarization: Supports asking questions directly through audio. Analyze audio and generate structured summaries without the need for separate ASR and language models Natively multilingual: Automatic language detection and state-of-the-art performance in the world’s most widely used languages (English, Spanish, French, Portuguese, Hindi, German, Dutch, Italian) Function-calling straight from voice: Enables direct triggering of backend functions, workflows, or API calls based on spoken user intents Highly capable at text: Retains the text understanding capabilities of its language model backbone, Ministral-3B Benchmark Results Audio Average word error rate (WER) over the FLEURS, Mozilla Common Voice and Multilingual LibriSpeech benchmarks: Text Usage The model can be used with the following frameworks; Notes: temperature=0.2 and top_p=0.95 for chat completion (e.g. Audio Understanding) and temperature=0.0 for transcription Multiple audios per message and multiple user turns with audio are supported System prompts are not yet supported vLLM (recommended) We recommend using this model with vLLM. Installation Make sure to install vllm from "main", we recommend using uv: uv pip install -U "vllm[audio]" --torch-bac...