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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.

s2593817

sft-sql-embedding

s2593817/sft-sql-embedding
Model details
sentence similarity and retrievalLicense: unknownSHA-256 recorded for 8 of 12 filessafetensors

Content controls: not assessed.

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

Quick answer: compatibility and sources

Can I run sft-sql-embedding on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

sft-sql-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.safetensors: 862b852885ed728c86e8eb1c986309d9a6abfb4901fc9873c0e60c32d5cc8b0d. 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-s2593817-sft-sql-embedding.
  • Open /artifact/hf-model-s2593817-sft-sql-embedding/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-s2593817-sft-sql-embedding for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-s2593817-sft-sql-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.

8 hosted of 12 listed

Hashes recorded. Date not recorded.

FileTamañoSHA-256OrigenDescargar
Weights
model.safetensors438 MB
862b8528…d5cc8b0d862b852885ed728c86e8eb1c986309d9a6abfb4901fc9873c0e60c32d5cc8b0d
HostedDescargar
Tokenizer & config
1_Pooling/config.json305 bytes—Upstream onlyFile metadata
config.json622 bytes
5ec4f81c…b3c41e1c5ec4f81cf36480f93615b2e810185e612ce7e5d823c8225362dfd8c4b3c41e1c
HostedDescargar
config_sentence_transformers.json208 bytes
71c2450c…35d30fd471c2450ccf8e73b43d19d083f6112f4a95b368dea4a5085119c9eb8e35d30fd4
HostedDescargar
modules.json368 bytes
e7989e94…da2acd53e7989e94b5b809d895a9521b708312c1ccd333e183effebaf3838908da2acd53
HostedDescargar
sentence_bert_config.json56 bytes
2b4c737b…9d1023492b4c737bec5c4c209d74269b75ecbf9ed3abf3c6347d969ee643cde39d102349
HostedDescargar
special_tokens_map.json1.01 KB
efa8db3e…8a355062efa8db3ea1576eeb78ff630550f77db6e846e982bd62d45cce802f1d8a355062
HostedDescargar
tokenizer.json710.9 KB
46fb1f73…37558d1e46fb1f735006f52c1f9744bb05f7bc1544ec8475955af30396212c7737558d1e
HostedDescargar
tokenizer_config.json1.66 KB
9a7f8326…0c4820139a7f832646b41608c080c2589b2dff01fb9cb36dff5cc73d13e1c9bb0c482013
HostedDescargar
vocab.txt231.5 KB—Upstream onlyFile metadata
Docs
.gitattributes1.52 KB—Upstream onlyFile metadata
README.md21.6 KB—Upstream onlyFile 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.

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