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    Models/Visual Question Answering/mncai/hunmin_vlm_235b_v0.11_merged_cua
    Visual Question Answeringtransformersapache-2.0

    hunmin_vlm_235b_v0.11_merged_cua

    by mncai

    Identifier
    Model ID
    mncai/hunmin_vlm_235b_v0.11_merged_cua

    Tags

    transformerssafetensorsqwen3_vl_moeimage-text-to-textagentvisual-question-answeringenkobase_model:Qwen/Qwen3-VL-235B-A22B-Instructbase_model:finetune:Qwen/Qwen3-VL-235B-A22B-Instructlicense:apache-2.0endpoints_compatibleregion:us

    Use hunmin_vlm_235b_v0.11_merged_cua 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, hunmin_vlm_235b_v0.11_merged_cua runs as a managed extractor inside a processing pipeline. Point a bucket of visual question answering 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.