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    Models/Automatic Speech Recognition/meghanamakkapati/MistralAI_INT4_quantization
    Automatic Speech Recognitiontransformersapache-2.0

    MistralAI_INT4_quantization

    by meghanamakkapati

    Identifier
    Model ID
    meghanamakkapati/MistralAI_INT4_quantization

    Tags

    transformerssafetensorsvoxtral_realtimeautomatic-speech-recognitionmistralvoxtralvoxtral-realtimeasrquantizationbitsandbytesint4nf4base_model:mistralai/Voxtral-Mini-4B-Realtime-2602base_model:quantized:mistralai/Voxtral-Mini-4B-Realtime-2602license:apache-2.0endpoints_compatible4-bitregion:us

    Use MistralAI_INT4_quantization on Mixpeek

    Build multimodal processing pipelines with this model and others. Extract features, run inference, and set up retrieval in Mixpeek Studio.

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    How It Runs on Mixpeek

    On Mixpeek, MistralAI_INT4_quantization runs as a managed extractor inside a processing pipeline. Point a bucket of automatic speech recognition data at it, and Mixpeek handles GPU provisioning, batching, retries, and writing the outputs into a vector store you can query.

    Extractor outputs land in the Mixpeek Vector Store (MVS), where you can combine them with retrieval, reranking, and filter stages to build end-to-end search and agent-perception pipelines, no model-serving infrastructure to maintain.