NEWVectors or files. Pick a path.Start →
    Models/Sentence Similarity/togethercomputer/m2-bert-80M-8k-retrieval
    Sentence Similaritytransformersapache-2.0

    m2-bert-80M-8k-retrieval

    by togethercomputer

    Identifier
    Model ID
    togethercomputer/m2-bert-80M-8k-retrieval

    Deploy m2-bert-80M-8k-retrieval

    Single-tenant

    Mixpeek has no managed extractor for this model. On a single-tenant deployment you upload the weights and a custom plugin serves them next to the rest of your pipeline.

    Tags

    transformerspytorchm2_berttext-classificationsentence-similaritycustom_codeenarxiv:2310.12109license:apache-2.0region:us

    Use m2-bert-80M-8k-retrieval 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, m2-bert-80M-8k-retrieval runs as a managed extractor inside a processing pipeline. Point a bucket of sentence similarity 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.