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    Models/Sentence Similarity/ai-sage/Giga-Embeddings-instruct-10B-A1.8B-0826
    Sentence Similaritysentence-transformersmit

    Giga-Embeddings-instruct-10B-A1.8B-0826

    by ai-sage

    Identifier
    Model ID
    ai-sage/Giga-Embeddings-instruct-10B-A1.8B-0826

    Deploy Giga-Embeddings-instruct-10B-A1.8B-0826

    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

    sentence-transformerssafetensorsdeepseek_v3_bidirecfeature-extractionsentence-similaritytransformersembeddingscustom_coderuenarxiv:2608.23806license:mitendpoints_compatibleregion:us

    Use Giga-Embeddings-instruct-10B-A1.8B-0826 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, Giga-Embeddings-instruct-10B-A1.8B-0826 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.