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    Models/Text Generation/z-lab/Qwen3.6-35B-A3B-DFlash
    Text Generationtransformersapache-2.0

    Qwen3.6-35B-A3B-DFlash

    by z-lab

    230Kdl/month
    276likes
    Identifier
    Model ID
    z-lab/Qwen3.6-35B-A3B-DFlash

    Tags

    transformerssafetensorsqwen3feature-extractiondflashspeculative-decodingspeculative-decoding-draftblock-diffusiondraft-modeldiffusion-language-modelefficiencyqwenqwen3.6sglangtext-generationcustom_codearxiv:2602.06036base_model:Qwen/Qwen3.6-35B-A3Bbase_model:finetune:Qwen/Qwen3.6-35B-A3Blicense:apache-2.0text-generation-inferenceregion:us

    Use Qwen3.6-35B-A3B-DFlash 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, Qwen3.6-35B-A3B-DFlash 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.