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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

bflhc

MoD-Embedding

Can I run MoD-Embedding on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 15 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

MoD-Embedding is an embedding model for sentence similarity and retrieval. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model-00001-of-00002.safetensors: dc1b84237653ba7210ee1f09702ff3b95879f10cd9cb618a6ec53e92e96661cd. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

bflhc/MoD-Embedding
Model details
sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 15 of 16 filessafetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

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