tiny-random-internlm2 safetensors download | Hugging Bay

Q: What is this model?

optimum-internal-testing/tiny-random-internlm2 is an open-weights language model for text generation published by optimum-internal-testing, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text generation: optimum-internal-testing/tiny-random-internlm2 · 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: at least 8 listed files; full count and size unknown. Full repo upstream: 103.5 MB. The recommended download, model.safetensors, is 96.2 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 103.5 MB. The original release is at https://huggingface.co/optimum-internal-testing/tiny-random-internlm2.

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-internlm2/safety on Hugging Bay.

Q: Will optimum-internal-testing/tiny-random-internlm2 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-internlm2

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optimum-internal-testing/tiny-random-internlm2

Model details

text generationLicense: apache-2.0SHA-256 recorded for 8 of 13 filessafetensors

Content controls: not assessed.

The catalog lists this model for generating text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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Your next step

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This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-optimum-internal-testing-tiny-random-internlm2/model.safetensors",
    "model.safetensors",
)

Other ways

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8 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors96 MB · 1 file Download · 96 MB (1 file)

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Content controls: not assessed.

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Compare your file’s SHA-256 with the recorded hash.

8 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	96.2 MB	`1973ae87…4eea2449` `1973ae87cafbb84faf174d6420ab25baf06e9d7fee5409d7f323d8c04eea2449`	Hosted	Download
Tokenizer & config
`config.json`	912 bytes	`7b2afa3f…5048f822` `7b2afa3f038864839433d57563a146c12f42e944db68a484f31596cd5048f822`	Hosted	Download
`configuration_internlm2.py`	7.02 KB	—	Upstream only	File metadata
`generation_config.json`	132 bytes	`b396ab51…6e1c437a` `b396ab512c729565f428bf717807d82d7a1301db34cbbeaf4031af9c6e1c437a`	Hosted	Download
`modeling_internlm2.py`	60.2 KB	—	Upstream only	File metadata
`special_tokens_map.json`	95 bytes	`833c7a70…16e0eba8` `833c7a70faf348f64bc7e62aa070b575205b5acc47201e109ec37a3516e0eba8`	Hosted	Download
`tokenization_internlm2.py`	8.81 KB	—	Upstream only	File metadata
`tokenization_internlm2_fast.py`	7.8 KB	—	Upstream only	File metadata
`tokenizer.json`	5.75 MB	`8e92463b…1f8b7baf` `8e92463baee0aa9a88094b690638951013fc25712b2efe77e16909881f8b7baf`	Hosted	Download
`tokenizer_config.json`	509 bytes	`efdc184c…3458d5d1` `efdc184c53effcc6088b7c6cb7f9a5b03211bd31bebd359d7d4c83dd3458d5d1`	Hosted	Download
`tokenizer.model`	1.48 MB	`f868398f…0429b48b` `f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b`	Hosted	Download
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	62 bytes	`982f3088…c71d2688` `982f30889e3aa2316a515129df52204e4f80b3ba810073f553d27976c71d2688`	Hosted	Download

Check a download

In the folder where you saved model.safetensors, run:

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

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tiny-random-internlm2

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