Voxtral Mini 3B 2507 FP8 dynamic Model Overview Model Architecture: VoxtralForConditionalGeneration Input: Audio Text Output: Text Model Optimizations: Weight quantization: FP8 Activation quantization: FP8 Intended Use Cases: 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 capabl…
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