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 .
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 · 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 .
optimum-internal-testing/tiny-random-marianCommunity reports
These user-submitted reports stay visible for moderation but do not change ranking, verification, run status, badges, requests, or reputation.
- Self-reported reviews
- 0
- Self-reported average rating
- 0.0 / 5
- Self-reported run receipts
- 0
- Helpful votes
- 0
Reviews API Community signals API Open interactive community tab