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    Models/Question Answering/LahiruWije/Qwen2.5-0.5B-Instruct-GPRO-GSM8K
    Question Answeringtransformersapache-2.0

    Qwen2.5-0.5B-Instruct-GPRO-GSM8K

    by LahiruWije

    Identifier
    Model ID
    LahiruWije/Qwen2.5-0.5B-Instruct-GPRO-GSM8K

    Tags

    transformerspytorchsafetensorsqwen2text-generationunslothtrlgrporeasoninggsm8kquestion-answeringendataset:openai/gsm8karxiv:2402.03300base_model:Qwen/Qwen2.5-0.5B-Instructbase_model:finetune:Qwen/Qwen2.5-0.5B-Instructlicense:apache-2.0text-generation-inferenceendpoints_compatibleregion:us

    Use Qwen2.5-0.5B-Instruct-GPRO-GSM8K 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, Qwen2.5-0.5B-Instruct-GPRO-GSM8K runs as a managed extractor inside a processing pipeline. Point a bucket of 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.