标题： Voxtral 显示英文标题

标题： Voxtral

摘要： 我们介绍了Voxtral Mini和Voxtral Small，两种多模态音频聊天模型。 Voxtral旨在理解口语音频和文本文档，在各种音频基准测试中实现了最先进的性能，同时保持强大的文本能力。 Voxtral Small优于许多闭源模型，同时足够小以便于本地运行。 32K上下文窗口使模型能够处理长达40分钟的音频文件和长时间的多轮对话。 我们还贡献了三个基准测试，用于评估语音理解模型在知识和趣闻方面的表现。 两种Voxtral模型均在Apache 2.0许可证下发布。 显示英文摘要

摘要： We present Voxtral Mini and Voxtral Small, two multimodal audio chat models. Voxtral is trained to comprehend both spoken audio and text documents, achieving state-of-the-art performance across a diverse range of audio benchmarks, while preserving strong text capabilities. Voxtral Small outperforms a number of closed-source models, while being small enough to run locally. A 32K context window enables the model to handle audio files up to 40 minutes in duration and long multi-turn conversations. We also contribute three benchmarks for evaluating speech understanding models on knowledge and trivia. Both Voxtral models are released under Apache 2.0 license.