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pfnet

plamo-embedding-1b

pfnet/plamo-embedding-1b
Model details
sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 25 of 28 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, task.

Can I run it?View as JSON →
Quick answer: compatibility and sources

Can I run plamo-embedding-1b on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 25 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.

plamo-embedding-1b 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.safetensors: 0e9e26cd19d9a90dc79d1c0e8d4755d881fe984a8582d7dcd776b9adb2dcf9f1. 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-pfnet-plamo-embedding-1b.
  • Open /artifact/hf-model-pfnet-plamo-embedding-1b/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-pfnet-plamo-embedding-1b for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-pfnet-plamo-embedding-1b/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.

25 hosted of 28 listed

Hashes recorded. Date not recorded.

FileSizeSHA-256SourceDownload
Weights
model.safetensors2.1 GB
0e9e26cd…b2dcf9f10e9e26cd19d9a90dc79d1c0e8d4755d881fe984a8582d7dcd776b9adb2dcf9f1
HostedDownload
Tokenizer & config
config.json1.09 KB
8d42bec2…ac9bc8858d42bec285807398433e60c4e76541ea9298971cf4b7a3ba9c6ed693ac9bc885
HostedDownload
results/Classification/scores_amazon_counterfactual_classification.json619 bytes
0f14fd61…3e73c94d0f14fd6182ee67edf22710213247ee0cbf66beec125d8ff406a4dfdc3e73c94d
HostedDownload
results/Classification/scores_amazon_review_classification.json584 bytes
d7a67100…c4ca618ad7a671006085a4d86254e85dbfe1cbd592a2d5264b38b1cbbbfba4ddc4ca618a
HostedDownload
results/Classification/scores_massive_intent_classification.json617 bytes
17ed94cd…38bfcf0017ed94cd2c6f0604e10181cf0576d7b0acbb2e425a1e505c6769fded38bfcf00
HostedDownload
results/Classification/scores_massive_scenario_classification.json619 bytes
a62a7e7a…8ceb725ba62a7e7ac3ca8a0d871a09a80c8a0280b7f910c17bcc5fc5181b43fa8ceb725b
HostedDownload
results/Clustering/scores_livedoor_news.json1.31 KB
8d3684b6…b85238b18d3684b6c53b5d657a599da90c1d6051725e7a548b762aa9b7c47cbfb85238b1
HostedDownload
results/Clustering/scores_mewsc16.json1.33 KB
451f94e4…ee99b7c9451f94e42204ef817f3358970cc655fd1c8888e8c2d779410914d73cee99b7c9
HostedDownload
results/PairClassification/scores_paws_x_ja.json1.44 KB
9385c2fa…b2f408679385c2fa97504589622890555081ba390cb674b9689a7fd2b0c723b3b2f40867
HostedDownload
results/Reranking/scores_esci.json972 bytes
e37ee05e…11fd098ee37ee05ef398444c53a7495bd7794cd74e5b150979b41cd4775b277011fd098e
HostedDownload
results/Retrieval/scores_jagovfaqs_22k.json1.58 KB
fa562a6f…f429687cfa562a6f23b2ada448ad1c7e0c05afa845f5cf92abd8f78cd3463b7bf429687c
HostedDownload
results/Retrieval/scores_jaqket.json1.58 KB
0120e033…f5015e760120e03373eff04591b66ecdbfe036cfb94f960176869b21da48d0fef5015e76
HostedDownload
results/Retrieval/scores_mrtydi.json1.58 KB
c454028e…08531e8bc454028ee6dbd29ccb139f4e32ea8b1bd5fcc31f96fd93faccd6984f08531e8b
HostedDownload
results/Retrieval/scores_nlp_journal_abs_intro.json1.58 KB
5071bfd9…24f572ac5071bfd9d48f511ce515279f5054e31bc1397e24c332b2d5baf35d5224f572ac
HostedDownload
results/Retrieval/scores_nlp_journal_title_abs.json1.58 KB
d7ba873e…1bf3fc57d7ba873e7ae021feaef5ee3d8ca94c8f631e0679726c94ffd3c15af71bf3fc57
HostedDownload
results/Retrieval/scores_nlp_journal_title_intro.json1.58 KB
5789ad45…41df476a5789ad457fb6113c567d760388318ed5cec5ea7aff274e2f0a5b68e141df476a
HostedDownload
results/STS/scores_jsick.json934 bytes
57e2d295…a6d7d72557e2d2958a3a97590bc189858d5f8d3e612f991d13007241986c73fca6d7d725
HostedDownload
results/STS/scores_jsts.json937 bytes
02d2ee1c…dc83c43e02d2ee1c841860df0962765e247eb41a481bba5645d479bb2272a4f6dc83c43e
HostedDownload
results/summary.json1.51 KB
ee8fdf99…49d36485ee8fdf998e3c6766e28fb49f76085baf6099273675f8d9e6fb0c745549d36485
HostedDownload
special_tokens_map.json477 bytes
31d6b434…9789c41431d6b4340b29bfb78939df1bab96a0996342b892bf454e129774c3ee9789c414
HostedDownload
tokenizer.model805.5 KB
9603895b…6201c69a9603895be773fe5807f5183bf9279da4df3a81ce5941a1a9521e8b496201c69a
HostedDownload
tokenizer_config.json1.3 KB
7ab4e267…58d7bae87ab4e2677b610f4d9cea3a74052c56f7838aeadc183d47523c89f0dd58d7bae8
HostedDownload
modeling_plamo.py0 bytes—Upstream onlyFile metadata
tokenization_plamo.py0 bytes—Upstream onlyFile metadata
Docs
LICENSE.txt23 KB
489f1837…512d5ac9489f1837bfe9b1aac8aa3180925e5dc045ad4f78e218a6a947972a02512d5ac9
HostedDownload
README.md5.7 KB
35cbe82a…0009811b35cbe82a97fbaf59581b375017421d240a82d8671e8e2a357810e09a0009811b
HostedDownload
README_ja.md6.12 KB
84be2044…c7d6b96984be20440dd1ffafe0b218e3bb4868d073b1deb74b4657d698c32bd6c7d6b969
HostedDownload
.gitattributes0 bytes—Upstream onlyFile metadata

Check a download

In the folder where you saved LICENSE.txt, run:

macOS
shasum -a 256 -- 'LICENSE.txt'
Linux
sha256sum -- 'LICENSE.txt'
Windows
Get-FileHash -LiteralPath 'LICENSE.txt' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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