tiny-random-gpt2 safetensors download | Hugging Bay

Q: What is this model?

optimum-intel-internal-testing/tiny-random-gpt2 is an open-weights language model for general published by optimum-intel-internal-testing, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-gpt2 · pytorch

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: 5 files, 472.5 KB. Full repo upstream: 12.5 MB. The recommended download, a 2-file weight set, is 4.02 MB.

Q: What can I download here?

Hosted here: 5 files, 472.5 KB. Full repo upstream: 12.5 MB.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-optimum-intel-internal-testing-tiny-random-gpt2/safety on Hugging Bay.

Q: Will optimum-intel-internal-testing/tiny-random-gpt2 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-intel-internal-testing

tiny-random-gpt2

optimum-intel-internal-testing/tiny-random-gpt2

Model details

generalLicense: unknownHashes recordedsafetensors · BIN · H5

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog source: unknown.

View as JSON →

5 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`pytorch_model.bin`	3.56 MB	`4fab47c1…3c0194be` `4fab47c129967e0db58e8faf8494e4bd04f2ea79bbe287ac2f90c4183c0194be`	Download availability is unknown.	File metadata
`model.safetensors`	453.9 KB	`8111d5af…20b4e500` `8111d5afb0715dbf5a31396d31432cb56370ba23f6650a035ea0fc8a20b4e500`	Download availability is unknown.	File metadata
Tokenizer & config
`config.json`	807 bytes	`9ad49cd2…e1089e77` `9ad49cd2ff58daa38243e4eeaac13b1259786d9418e45bfc01a1fd1fe1089e77`	Download availability is unknown.	File metadata
`merges.txt`	4.88 KB	—	Download availability is unknown.	File metadata
`special_tokens_map.json`	90 bytes	`c0b3c279…ef2ff5dd` `c0b3c279b6ecdb71996a86ffb4d4ab94dfdb5df95f00bac9515688faef2ff5dd`	Download availability is unknown.	File metadata
`tf_model.h5`	8.46 MB	`9ccb1b43…33cc604c` `9ccb1b43b02b0ce538d412ed16bd7dcee4e91651741334a3cb3caecb33cc604c`	Download availability is unknown.	File metadata
`tokenizer.json`	17.5 KB	`e62fc5f6…788eb85c` `e62fc5f642751cf5d0bf542adb6aba88624b696f26f5f40aff7e4a53788eb85c`	Download availability is unknown.	File metadata
`tokenizer_config.json`	236 bytes	`1e664fe1…b6ee6f0d` `1e664fe1a5bc404dcb204a76c76bc4100c91bd12c66098d8a8090b11b6ee6f0d`	Download availability is unknown.	File metadata
`vocab.json`	10.4 KB	—	Download availability is unknown.	File metadata
Docs
`.gitattributes`	791 bytes	—	Download availability is unknown.	File metadata

Comprobar una descarga

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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