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    Models/Text Generation/cyankiwi/MiniMax-M2.7-AWQ-4bit
    Text Generationtransformersother

    MiniMax-M2.7-AWQ-4bit

    by cyankiwi

    113Kdl/month
    37likes
    Identifier
    Model ID
    cyankiwi/MiniMax-M2.7-AWQ-4bit

    Tags

    transformerssafetensorsminimax_m2text-generationconversationalcustom_codebase_model:MiniMaxAI/MiniMax-M2.7base_model:quantized:MiniMaxAI/MiniMax-M2.7license:otherendpoints_compatiblecompressed-tensorsregion:us

    Use MiniMax-M2.7-AWQ-4bit on Mixpeek

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

    Open Studio

    How It Runs on Mixpeek

    On Mixpeek, MiniMax-M2.7-AWQ-4bit runs as a managed extractor inside a processing pipeline. Point a bucket of text generation 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.