tiny-random-marian safetensors download | Hugging Bay

Q: What is this model?

optimum-internal-testing/tiny-random-marian is an open-weights language model for general published by optimum-internal-testing, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: optimum-internal-testing/tiny-random-marian · pytorch

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 11.5 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 11.5 MB. The original release is at https://huggingface.co/optimum-internal-testing/tiny-random-marian.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-optimum-internal-testing-tiny-random-marian/safety on Hugging Bay.

Q: Will optimum-internal-testing/tiny-random-marian run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

optimum-internal-testing

tiny-random-marian

Can I run tiny-random-marian on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

tiny-random-marian is an open-weights language model for general. 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 2026-10-22.

Recorded SHA-256 for pytorch_model.bin: 3e778a30110f6c1208ea2da43d99f1643c7de46d2739d3e69e650c7cd1139eaf. 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 2026-10-21 · 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 2026-09-25 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

optimum-internal-testing/tiny-random-marian

Model details

generalLicense: mitSHA-256 recorded for 9 of 11 filessafetensors · BIN

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog sources: license, cardMetadata.license.

Can I run it?View as JSON →

What we checked

Source
optimum-internal-testing/tiny-random-marian
SHA-256
Hashes recorded. Date not recorded.
License
License: mit
File pattern scans
No scan result recorded yet

Signed file list

We signed this file list (names, sizes and SHA-256 fingerprints) so you can check it came from us. A signature is not a safety check. Signing key

Where the files come from

Files are hosted on Hugging Bay. See the recorded hashes in Files.

See the JSON record →

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