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    Models/Text Generation/Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4
    Text Generationtransformersapache-2.0

    Qwen2.5-Coder-7B-Instruct-GPTQ-Int4

    by Qwen

    499Kdl/month
    14likes
    Identifier
    Model ID
    Qwen/Qwen2.5-Coder-7B-Instruct-GPTQ-Int4

    Tags

    transformerssafetensorsqwen2text-generationcodecodeqwenchatqwenqwen-coderconversationalenarxiv:2409.12186arxiv:2309.00071arxiv:2407.10671base_model:Qwen/Qwen2.5-Coder-7B-Instructbase_model:quantized:Qwen/Qwen2.5-Coder-7B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatible4-bitgptqdeploy:azureregion:us

    Use Qwen2.5-Coder-7B-Instruct-GPTQ-Int4 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-Coder-7B-Instruct-GPTQ-Int4 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.