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AI models that run on this device.

Two small chat models run in a computer’s browser here; every other model is a file you download.

optimum-intel-internal-testing

tiny-random-gemma3-text

optimum-intel-internal-testing/tiny-random-gemma3-text
Model details
generalLicense: unknownSHA-256 recorded for 8 of 9 filessafetensors

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog source: unknown.

Quick answer: compatibility and sources

Can I run tiny-random-gemma3-text on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 7 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-gemma3-text 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 model.safetensors: 739306f782746eff46b7da260e77a3403e61d5629ddef6f574c9516139bf114a. 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 .

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-optimum-intel-internal-testing-tiny-random-gemma3-text.
  • Open /artifact/hf-model-optimum-intel-internal-testing-tiny-random-gemma3-text/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-optimum-intel-internal-testing-tiny-random-gemma3-text for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-optimum-intel-internal-testing-tiny-random-gemma3-text/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors4.2 MB
739306f7…39bf114a739306f782746eff46b7da260e77a3403e61d5629ddef6f574c9516139bf114a
Hosted下载
Tokenizer & config
added_tokens.json35 bytes
50b2f405…221ba94650b2f405ba56a26d4913fd772089992252d7f942123cc0a034d96424221ba946
Hosted下载
config.json892 bytes
06916cac…290e213106916cac058f247a4d0d788751876f6abe161f26bfb37f78f88b3c20290e2131
Hosted下载
generation_config.json192 bytes
e04ecb65…1672ba78e04ecb65db447404710114fb282baaac482d22a95e2244ecaab428b81672ba78
Hosted下载
special_tokens_map.json662 bytes
2f7b0adf…3213a3972f7b0adf4fb469770bb1490e3e35df87b1dc578246c5e7e6fc76ecf33213a397
Hosted下载
tokenizer.json33.4 MB
4667f208…affad7954667f2089529e8e7657cfb6d1c19910ae71ff5f28aa7ab2ff2763330affad795
Hosted下载
tokenizer.model4.69 MB
1299c11d…82f2e79c1299c11d7cf632ef3b4e11937501358ada021bbdf7c47638d13c0ee982f2e79c
Upstream onlyFile metadata
tokenizer_config.json1.16 MB
bfe25c27…14cf53e1bfe25c2735e395407beb78456ea9a6984a1f00d8c16fa04a8b75f2a614cf53e1
Hosted下载
Docs
.gitattributes1.57 KB—Upstream onlyFile metadata

检查下载文件

In the folder where you saved added_tokens.json, run:

macOS
shasum -a 256 -- 'added_tokens.json'
Linux
sha256sum -- 'added_tokens.json'
Windows
Get-FileHash -LiteralPath 'added_tokens.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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