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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.

tiny-random

qwen3-moe

Try browser chat with a small demo model (a separate model; device support is checked before loading).

tiny-random/qwen3-moe
Model details
text generationLicense: unknownSHA-256 recorded for 8 of 12 filessafetensors

Content controls: not assessed.

The catalog lists this model for having conversations. Catalog sources: tags, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run qwen3-moe on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

qwen3-moe is an open-weights language model for text generation. 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: f4ebcb506f998924e941303c414712f533a371f9040b0210225978c1eaefad6e. 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-tiny-random-qwen3-moe.
  • Open /artifact/hf-model-tiny-random-qwen3-moe/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-tiny-random-qwen3-moe for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-tiny-random-qwen3-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.

8 hosted of 12 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model.safetensors19.9 MB
f4ebcb50…eaefad6ef4ebcb506f998924e941303c414712f533a371f9040b0210225978c1eaefad6e
Hosted下载
Tokenizer & config
chat_template.jinja4.12 KB
87a2728c…e33396b587a2728cb8dc9fe424d624542f6060ec05a1d285ebbec578bb078900e33396b5
Hosted下载
config.json959 bytes
91bedb23…207b980d91bedb231915f4ca541ab64e837844bfe3f38a76c6c507cf255da33d207b980d
Hosted下载
generation_config.json248 bytes
781131d5…b0baca1d781131d58e0d55cfb6124f5c3d05f14e9d4b9c9750b1834ccccaef85b0baca1d
Hosted下载
merges.txt1.67 MB—Upstream onlyFile metadata
tokenizer_config.json5.4 KB
443bfa62…f45f7fa0443bfa629eb16387a12edbf92a76f6a6f10b2af3b53d87ba1550adfcf45f7fa0
Hosted下载
vocab.json2.78 MB—Upstream onlyFile metadata
added_tokens.json707 bytes
c0284b58…0833c680c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680
Hosted下载
special_tokens_map.json613 bytes
76862e76…dd3a1ecd76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
Hosted下载
tokenizer.json11.4 MB
aeb13307…4492dae4aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
Hosted下载
Docs
.gitattributes1.57 KB—Upstream onlyFile metadata
README.md3.06 KB—Upstream onlyFile metadata

检查下载文件

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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