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    Models/Image Text To Text/cyburn/Qwopus3.6-35B-A3B-v1-PrismaSCOUT-Blackwell-NVFP4-BF16-vllm-4.75bits
    Image Text To Texttransformersapache-2.0

    Qwopus3.6-35B-A3B-v1-PrismaSCOUT-Blackwell-NVFP4-BF16-vllm-4.75bits

    by cyburn

    148Kdl/month
    9likes
    Identifier
    Model ID
    cyburn/Qwopus3.6-35B-A3B-v1-PrismaSCOUT-Blackwell-NVFP4-BF16-vllm-4.75bits

    Tags

    transformerssafetensorsqwen3_5_moeimage-text-to-textquantizedcompressed-tensorsvllmmixed-precisionnvfp4prismaquantmoereasoningmultimodalblackwellconversationalenzhjakofrbase_model:Jackrong/Qwopus3.6-35B-A3B-v1base_model:quantized:Jackrong/Qwopus3.6-35B-A3B-v1license:apache-2.0endpoints_compatible8-bitregion:us

    Use Qwopus3.6-35B-A3B-v1-PrismaSCOUT-Blackwell-NVFP4-BF16-vllm-4.75bits 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, Qwopus3.6-35B-A3B-v1-PrismaSCOUT-Blackwell-NVFP4-BF16-vllm-4.75bits runs as a managed extractor inside a processing pipeline. Point a bucket of image text to text 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.