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    Models/Question Answering/shileii/Teachers_Exam_LLaMA_8B
    Question Answeringpeftapache-2.0

    Teachers_Exam_LLaMA_8B

    by shileii

    Identifier
    Model ID
    shileii/Teachers_Exam_LLaMA_8B

    Tags

    peftsafetensorsllamallama-factoryloragenerated_from_trainerquestion-answeringzhendataset:shileii/Teachers_Exambase_model:meta-llama/Meta-Llama-3-8B-Instructbase_model:adapter:meta-llama/Meta-Llama-3-8B-Instructlicense:apache-2.0region:us

    Use Teachers_Exam_LLaMA_8B 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, Teachers_Exam_LLaMA_8B 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.