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

rrivera1849

LUAR-MUD

rrivera1849/LUAR-MUD
Model details
text embeddingsLicense: apache-2.0SHA-256 recorded for 12 of 13 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run LUAR-MUD on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 12 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.

LUAR-MUD is an embedding model for text embeddings. 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: 443939bb2df7a31f73890e6013ae20021e1fffed47f6142fe813257e6501e63b. 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-rrivera1849-luar-mud.
  • Open /artifact/hf-model-rrivera1849-luar-mud/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-rrivera1849-luar-mud for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-rrivera1849-luar-mud/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.

12 hosted of 13 listed

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors330.1 MB
443939bb…6501e63b443939bb2df7a31f73890e6013ae20021e1fffed47f6142fe813257e6501e63b
HostedDownload
pytorch_model.bin330.1 MB
ccd1f426…09cb61bcccd1f426f7cedc28a0572524f9581257597cd710cccb39140177390709cb61bc
HostedDownload
Tokenizer & config
backbone/config.json718 bytes
0092633f…b19574530092633f7fd10d17a99996ef21d4fb0cd8640cf047a38c5f79d7cf0eb1957453
HostedDownload
config.json1.17 KB
313ac767…ec5300a6313ac767aa05043e5c7ad1eea0cb1d102e3e82a646eae14821817113ec5300a6
HostedDownload
config.py701 bytes
3488d731…0146ed843488d731d381aeef5b61e8590d67b9cfbcabd59413bfc8d8cb18b3480146ed84
HostedDownload
merges.txt456.3 KB
1ce16647…7726adc51ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
HostedDownload
model.py8.64 KB
02a97785…88a259fd02a9778526e9119c4a083e0f440c419cf793f2cffa97b0041e556b9488a259fd
HostedDownload
special_tokens_map.json964 bytes
8c785abe…4cf108358c785abebea9ae3257b61681b4e6fd8365ceafde980c21970d001e834cf10835
HostedDownload
tokenizer.json3.56 MB
7b62d797…f1b254737b62d797c95d1563d3467f48daad0eca3e150f2d587e7e687b557c9ef1b25473
HostedDownload
tokenizer_config.json1.25 KB
4008a762…e0e91a6b4008a762b09edcbdd9b7583372e806ae65bf640ea419e34a6ba2b770e0e91a6b
HostedDownload
vocab.json798.3 KB
ed19656e…3670ab5eed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e
HostedDownload
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md6.46 KB
71fb2029…4f84c48d71fb2029b521e899aba6e09b9f5b10a31ffdc789ff2798d99f045de54f84c48d
HostedDownload

Check a 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.

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