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

optimum-internal-testing/tiny-random-marian

Model details

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

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog sources: license, cardMetadata.license.

View as JSON →

8 hosted of 11 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`pytorch_model.bin`	7.83 MB	`3e778a30…d1139eaf` `3e778a30110f6c1208ea2da43d99f1643c7de46d2739d3e69e650c7cd1139eaf`	Upstream only	File metadata
`model.safetensors`	707.3 KB	`806e6a41…f56142ea` `806e6a41de92e593c6a0275c67771f8faf0e95c92fe002faf7371fcef56142ea`	Hosted	下载
Tokenizer & config
`config.json`	1.27 KB	`941a369d…c3368476` `941a369df6730bdbfacd8bbb036f806f8915c1ec1bc57092455acdd6c3368476`	Hosted	下载
`generation_config.json`	267 bytes	`eb8c47dc…9a69c1e2` `eb8c47dc87ee77d02efe5f026d43dfbd3c4917cad7789d8de683d7359a69c1e2`	Hosted	下载
`source.spm`	768.5 KB	`678f2a11…aecf47ce` `678f2a1177d8389f67b66299762dcc4fc567e89b07e212ba91b0c56daecf47ce`	Hosted	下载
`target.spm`	796.8 KB	`bbd1f495…89df5c9b` `bbd1f495eea99c8e21ae086d9146e0fa7b096c3dfdd9ba07ab8b631889df5c9b`	Hosted	下载
`tokenizer_config.json`	847 bytes	`bcd3dd19…5c6b388a` `bcd3dd19e2b329e9da975e90c682eab3b4aa99275d8f64008c2c8e085c6b388a`	Hosted	下载
`vocab.json`	1.39 MB	—	Upstream only	File metadata
`special_tokens_map.json`	74 bytes	`5e4d1f5e…42eec723` `5e4d1f5e759d74cb1c2fe1d165cfc62b5237aa904de759380cd6f43042eec723`	Hosted	下载
Docs
`.gitattributes`	1.61 KB	`0d39ef53…851f73fc` `0d39ef532fd51f81576fe90e2bfe10bff66eaca2d29c37f437f66441851f73fc`	Hosted	下载
`README.md`	21 bytes	—	Upstream only	File metadata

检查下载文件

In the folder where you saved pytorch_model.bin, run:

macOS

shasum -a 256 -- 'pytorch_model.bin'

Linux

sha256sum -- 'pytorch_model.bin'

Windows

Get-FileHash -LiteralPath 'pytorch_model.bin' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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