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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-gemma4-moe

optimum-intel-internal-testing/tiny-random-gemma4-moe
Model details
generalLicense: apache-2.0SHA-256 recorded for 7 of 10 filessafetensors

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog sources: license, cardMetadata.license.

Quick answer: compatibility and sources

Can I run tiny-random-gemma4-moe 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-gemma4-moe 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: 4492347ed73c791a7ae27b42ef4380ec85e3123aa341e8c23f72b20acf3dcc12. 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-gemma4-moe.
  • Open /artifact/hf-model-optimum-intel-internal-testing-tiny-random-gemma4-moe/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-optimum-intel-internal-testing-tiny-random-gemma4-moe for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-optimum-intel-internal-testing-tiny-random-gemma4-moe/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 10 listed

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors34.2 MB
4492347e…cf3dcc124492347ed73c791a7ae27b42ef4380ec85e3123aa341e8c23f72b20acf3dcc12
HostedDescargar
Tokenizer & config
chat_template.jinja16.9 KB
94899c0f…25bff41394899c0f917d93f6fe81c95744d1e8ddab2d21d39228d2e4aec1fb2a25bff413
HostedDescargar
config.json3.04 KB
b941486f…c5f6ae2db941486fe13676be0a838b1b6738e25cf58556b231bc297d02e164a4c5f6ae2d
HostedDescargar
generation_config.json234 bytes
4fc612c7…b81abcc94fc612c7f3f07933f9c14af7875392a45b33b7b31ead4d06465270afb81abcc9
HostedDescargar
model.safetensors.index.json103.2 KB—Upstream onlyFile metadata
processor_config.json1.69 KB
32bdf45d…56e9813c32bdf45d2ad4cc29a0822ddd157a182de76644f0419a6228d151495256e9813c
HostedDescargar
tokenizer_config.json2.71 KB
d7859e99…3eb3b092d7859e99f4d4070b8fa563589decfdf7378f33cc7c6d2c2a38c7353c3eb3b092
HostedDescargar
tokenizer.json32.2 MB
cc8d3a0c…627bfe0fcc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f
HostedDescargar
Docs
.gitattributes1.57 KB—Upstream onlyFile metadata
README.md1.83 KB—Upstream onlyFile metadata

Comprobar una descarga

In the folder where you saved chat_template.jinja, run:

macOS
shasum -a 256 -- 'chat_template.jinja'
Linux
sha256sum -- 'chat_template.jinja'
Windows
Get-FileHash -LiteralPath 'chat_template.jinja' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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