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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.

SupraLabs

Supra2-Medium-Instruct

Can I run Supra2-Medium-Instruct on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 6 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.

Supra2-Medium-Instruct is an open-weights language model for text generation. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: 3acb12ca7532ed545972a3082e0ee36061834d02246c206e57687c32b7b4a250. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

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

Try browser chat with a small demo model (a separate model; device support is checked before loading).

SupraLabs/Supra2-Medium-Instruct
Model details
text generationLicense: apache-2.0SHA-256 recorded for 6 of 8 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: license, cardMetadata.license, tags, task, cardMetadata.pipelineTag.

6 hosted of 8 listed

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors Default101.5 MB
3acb12ca…b7b4a2503acb12ca7532ed545972a3082e0ee36061834d02246c206e57687c32b7b4a250
HostedDescargar
Tokenizer & config
chat_template.jinja155 bytes
9a6ac2cf…b3dd5a2a9a6ac2cf411f21cf1fa155617d146256deee33e64c43eace6c36fd9eb3dd5a2a
HostedDescargar
config.json933 bytes
fbf5962d…367de8ebfbf5962d54053ed13adad72af4db2ab10f4b9972b061feffb435e523367de8eb
HostedDescargar
generation_config.json216 bytes
562aa26a…b6be7a71562aa26a47b455570a767dfa5d4c884f4c46ac2576f7f826df9a9ac5b6be7a71
HostedDescargar
tokenizer.json1.14 MB
7637a07f…a0846d907637a07fe58a34b5371b11074e1edc14233170d3cf8450fb9709f070a0846d90
HostedDescargar
tokenizer_config.json758 bytes
d8ca9283…f26839f2d8ca92833c188be45c8dfa6ea5505bbf6db6534cbaf49d7abc81c6aff26839f2
HostedDescargar
Docs
.gitattributes1.7 KB—Upstream onlyFile metadata
README.md4.94 KB—Upstream onlyFile metadata

Comprobar una descarga

In the folder where you saved model.safetensors, run:

macOS
shasum -a 256 -- 'model.safetensors'
Linux
sha256sum -- 'model.safetensors'
Windows
Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.