lilith-aeva

gpt2 vietnamese Mini

Text generation

This receipt records checks for this exact file; it does not prove safety or that it will run on your device. Read the receipt

Model details
text generationLicense: mitSHA-256 recorded for 7 of 8 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run gpt2-vietnamese-mini on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

gpt2-vietnamese-mini 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: ca5fb20d9f188192bcca337251101106768b75aef210a561c4352160b35558a9. 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-lilith-aeva-gpt2-vietnamese-mini.
  • Open /artifact/hf-model-lilith-aeva-gpt2-vietnamese-mini/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-lilith-aeva-gpt2-vietnamese-mini for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-lilith-aeva-gpt2-vietnamese-mini/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.

Requirements and source record

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

lilith-aeva/gpt2-vietnamese-mini

Content controls: not assessed.

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

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTamanhoSHA-256OrigemBaixar
Weights
model.safetensors466.3 MB
ca5fb20d…b35558a9ca5fb20d9f188192bcca337251101106768b75aef210a561c4352160b35558a9
Download availability is being checked.File metadata
training_args.bin5.2 KB
ea4d427c…fdd75ff3ea4d427c2c710b67516861f83a3e4235d6ebed48275636c9448814c7fdd75ff3
Download availability is being checked.File metadata
Tokenizer & config
config.json950 bytes
45535920…dfe583ff45535920cd666ece00131872b648a2c855ba4ca48b452d3848458f29dfe583ff
Download availability is being checked.File metadata
generation_config.json152 bytes
b0fd8c47…e7156334b0fd8c47f41376bca1c56538d28d07976055660cd827eebbe52d1408e7156334
Download availability is being checked.File metadata
tokenizer.json2.8 MB
30f3936b…3a3708d930f3936b0aaa711658ec20cebdbcd3c31b63124a15e400d85dbe75db3a3708d9
Download availability is being checked.File metadata
tokenizer_config.json297 bytes
caab7b8a…2c0cf8cecaab7b8a5a261a1d4cb142c2488acd9cb1c5c0154f681e5a38614a3a2c0cf8ce
Download availability is being checked.File metadata
Docs
.gitattributes1.52 KB—Download availability is being checked.File metadata
README.md1.48 KB
be4d6397…31d312c7be4d63974895ce53880df2a04007f586df4540bbd328987e08e57dfb31d312c7
Download availability is being checked.File metadata

Verificar um download

In the folder where you saved README.md, run:

macOS
shasum -a 256 -- 'README.md'
Linux
sha256sum -- 'README.md'
Windows
Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.