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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.

bflhc

MoD-Embedding

bflhc/MoD-Embedding
Model details
sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 15 of 16 filessafetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, cardMetadata.license, baseModel, tags, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run MoD-Embedding on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 15 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.

MoD-Embedding is an embedding model for sentence similarity and retrieval. 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-00001-of-00002.safetensors: dc1b84237653ba7210ee1f09702ff3b95879f10cd9cb618a6ec53e92e96661cd. 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-bflhc-mod-embedding.
  • Open /artifact/hf-model-bflhc-mod-embedding/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-bflhc-mod-embedding for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-bflhc-mod-embedding/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.

15 hosted of 16 listed

Hashes recorded. Date not recorded.

File大小SHA-256来源下载
Weights
model-00001-of-00002.safetensors4.97 GB
dc1b8423…e96661cddc1b84237653ba7210ee1f09702ff3b95879f10cd9cb618a6ec53e92e96661cd
Hosted下载
model-00002-of-00002.safetensors3.08 GB
3321179c…875ab9bb3321179cbcb5abd62f8dddf7e69d7ebad4cf4f4a0bfcf01113eb0083875ab9bb
Hosted下载
Tokenizer & config
1_Pooling/config.json314 bytes
c5661a16…5171e970c5661a16d31f50ab2bfa8b111c548d5dac59669bf6a1368190482cf65171e970
Hosted下载
config.json1.53 KB
f2aa2a94…5e481724f2aa2a94872bfc292850e42fff33221655da32e9913bb420d0a193145e481724
Hosted下载
config_sentence_transformers.json216 bytes
ed6d9b6c…52bba8b1ed6d9b6cef4b09c247757030f0281741ab2671c988e52fcfa311300452bba8b1
Hosted下载
merges.txt1.67 MB
8831e4f1…08a904d58831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5
Hosted下载
model.safetensors.index.json30.5 KB
c7d0c1fe…15621b1cc7d0c1febf35ade36e0692414f09a6455c8df14361fa1b7528ae571515621b1c
Hosted下载
modules.json350 bytes
21ddb303…b30d88ac21ddb3037a55ebf4549eb5c1dc44c3f28f10b56ec7f1335c92fd90e5b30d88ac
Hosted下载
special_tokens_map.json613 bytes
76862e76…dd3a1ecd76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd
Hosted下载
tokenizer.json11.4 MB
83cdf8c3…bb7feb8d83cdf8c3a34f68862319cb1810ee7b1e2c0a44e0864ae930194ddb76bb7feb8d
Hosted下载
tokenizer_config.json4.69 KB
0a04a9d7…b8f576140a04a9d7d4a62b28482bdfe726c122756de85714fb64166ace92ae75b8f57614
Hosted下载
vocab.json2.78 MB
ca10d7e9…b1440910ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910
Hosted下载
added_tokens.json605 bytes
58b54bbe…1968060b58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b
Hosted下载
chat_template.jinja2.43 KB
44d5f08f…a5437fa544d5f08f3f72b837eaad09f13a54c1f9f4eb58d75240334548b7fd52a5437fa5
Hosted下载
Docs
.gitattributes1.57 KB—Upstream onlyFile metadata
README.md3.69 KB
40a9d3dc…699d172e40a9d3dc42d3bf4db8b5ae5f33efa12702e423db52e167af959028f0699d172e
Hosted下载

检查下载文件

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.

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