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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.

GrowBitLabs

tinye5

Can I run tinye5 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 4 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.

tinye5 is an embedding model for text embeddings. 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.safetensors: 2fb8de9bbf527353997deb64a4a6daee75da86a2eb9e711b825a6e7fa7ed2d01. 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 .

GrowBitLabs/tinye5
Model details
text embeddingsLicense: apache-2.0SHA-256 recorded for 4 of 7 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.

Run this model

The hosted files here are not a single-file GGUF, so there is no one-line run recipe yet. Open the file list to see exactly what is hosted.

Open the hosted files

Open the checked run record

Canonical evidence JSON Citation packet