Davlan

afro xlmr large 61L

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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
masked-language modelingLicense: mitSHA-256 recorded for 7 of 9 filessafetensors · BIN
Quick answer: compatibility and sources

Can I run afro-xlmr-large-61L 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.

afro-xlmr-large-61L is an open-weights language model for masked-language modeling. 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: ca15890e0d758da35c725f86da33b6ae6d1197f60fbf10f5c371c8fa0e00cfb8. 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-davlan-afro-xlmr-large-61l.
  • Open /artifact/hf-model-davlan-afro-xlmr-large-61l/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-davlan-afro-xlmr-large-61l for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-davlan-afro-xlmr-large-61l/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
Davlan/afro-xlmr-large-61L

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Download availability is being checked.

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors2.24 GB
ca15890e…0e00cfb8ca15890e0d758da35c725f86da33b6ae6d1197f60fbf10f5c371c8fa0e00cfb8
Download availability is being checked.File metadata
pytorch_model.bin2.24 GB
05dddaef…ca4aba9105dddaef12a0cbd0799143e39bc860a4fd46c76c4854a3a66e7c6a0dca4aba91
Download availability is being checked.File metadata
Tokenizer & config
config.json728 bytes
99e782bc…49e42e9b99e782bcfe8d9337a94fc57e8f0243bfa0ecbebbc4c1b2c6bb4b668849e42e9b
Download availability is being checked.File metadata
flax_model.msgpack2.24 GB
dab1df35…bcd12e2edab1df35ca96f74c6a0993b96e4c0d4783e18f27a63ad584a9403e28bcd12e2e
Download availability is being checked.File metadata
special_tokens_map.json280 bytes
06e405a3…6318067f06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f
Download availability is being checked.File metadata
tokenizer.json17.1 MB
62c24cdc…bbb7562662c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626
Download availability is being checked.File metadata
tokenizer_config.json413 bytes
0ee1b015…d7081f620ee1b015e12d3282c5e0d21c58573a0269d749188b49ab9e03571432d7081f62
Download availability is being checked.File metadata
Docs
.gitattributes1.53 KB—Download availability is being checked.File metadata
README.md2.34 KB—Download availability is being checked.File metadata

Comprobar una descarga

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

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

Compare the result with the recorded SHA-256.