tiny-random-glm4 safetensors download (30 MB) | Hugging Bay

Q: What is this model?

optimum-intel-internal-testing/tiny-random-glm4 is an open-weights language model for general published by optimum-intel-internal-testing, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-glm4 · unknown

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 7 files, 49.9 MB. Full repo upstream: 49.9 MB. The recommended download, model.safetensors, is 29.9 MB.

Q: What can I download here?

Hosted here: 7 files, 49.9 MB. Full repo upstream: 49.9 MB. The original release is at https://huggingface.co/optimum-intel-internal-testing/tiny-random-glm4.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 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-glm4/safety on Hugging Bay.

Q: Will optimum-intel-internal-testing/tiny-random-glm4 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-glm4

optimum-intel-internal-testing/tiny-random-glm4

generalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for llm: optimum-intel-internal-testing/tiny-random-glm4

View as JSON →

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	29.9 MB	`fc3320f1…f36ed49d` `fc3320f10367fd7d6224ec510afa559d19937acf6b53b0a926009ca4f36ed49d`	Hosted	Herunterladen
Tokenizer & config
`chat_template.jinja`	1.01 KB	`db700f25…8c83a822` `db700f25fa300e53634c6fc78dee86b7fbd6d27e624edb855b18a4078c83a822`	Hosted	Herunterladen
`config.json`	682 bytes	`1c95153b…76ad7e52` `1c95153bab894489d231f742ea66468e4f288d4e41f3ba9e65bbbb1a76ad7e52`	Hosted	Herunterladen
`generation_config.json`	160 bytes	`56ee0be8…088147fa` `56ee0be8c595f22a6a80a822096533e10455fcd1e859e0fc36a6e760088147fa`	Hosted	Herunterladen
`special_tokens_map.json`	601 bytes	`35a6dd9f…c7474541` `35a6dd9ff6e2474ba72b180db853851d2a84fce3d12095089285f447c7474541`	Hosted	Herunterladen
`tokenizer.json`	20 MB	`76ebeac0…cc664a8c` `76ebeac0d8bd7879ead7b43c16b44981f277e47225de2bd7de9ae1a6cc664a8c`	Hosted	Herunterladen
`tokenizer_config.json`	4.17 KB	`e316474d…2bfe9a36` `e316474d867ad1f91165a12d90c73b27a7e0f9a1c9293831cca66c792bfe9a36`	Hosted	Herunterladen
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	31 bytes	—	Upstream only	File metadata

Einen Download prüfen

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.

tiny-random-glm4

Einen Download prüfen

Cookies