NEWVectors or files. Pick a path.Start →
    Models/Image Text To Text/Qwen/Qwen2.5-VL-7B-Instruct-AWQ
    Image Text To Texttransformersapache-2.0

    Qwen2.5-VL-7B-Instruct-AWQ

    by Qwen

    2.8Mdl/month
    106likes
    Identifier
    Model ID
    Qwen/Qwen2.5-VL-7B-Instruct-AWQ

    Tags

    transformerssafetensorsqwen2_5_vlimage-text-to-textmultimodalconversationalenarxiv:2309.00071arxiv:2409.12191arxiv:2308.12966base_model:Qwen/Qwen2.5-VL-7B-Instructbase_model:quantized:Qwen/Qwen2.5-VL-7B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatible4-bitawqregion:us

    Use Qwen2.5-VL-7B-Instruct-AWQ 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, Qwen2.5-VL-7B-Instruct-AWQ 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.