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Hugging Face Transformers v5.13.0 adds KimiK, Xiaomi MiMo, NVIDIA, and Qwen ASR models

Hugging Face's Transformers library has released version 5.13.0, introducing several new open-source models. This update includes Kimi K2.5, a multimodal agentic model from KimiK, designed for advanced coding and autonomous execution. Additionally, the release features MiMo-V2-Flash, a Mixture-of-Experts model from Xiaomi MiMo, optimized for long-context reasoning and efficient inference. The update also incorporates NVIDIA's Nemotron 3.5 ASR and Nemotron ASR Streaming, both multilingual and English speech recognition models focused on low-latency streaming and high-throughput batch processing. Finally, Alibaba's Qwen team contributed Qwen3 ASR, a speech-to-text model supporting multilingual transcription and automatic language detection. AI

IMPACT Expands the range of readily available open-source models for developers, particularly in multimodal and speech recognition tasks.

RANK_REASON This is a software library release that includes multiple third-party models, rather than a core AI model release from a frontier lab.

Read on Transformers — Releases →

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Hugging Face Transformers v5.13.0 adds KimiK, Xiaomi MiMo, NVIDIA, and Qwen ASR models

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  1. Transformers — Releases TIER_1 (SL) · vasqu ·

    Release v5.13.0

    <h1>Release v5.13.0</h1> <h2>New Model additions</h2> <h3>KimiK 2.5, 2.6, and 2.7</h3> <a href="https://private-user-images.githubusercontent.com/73884904/616925714-c24d2232-a9b4-413b-a2c8-58d013b6dfbd.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkI…