sft-sql-embedding safetensors download | Hugging Bay

sft-sql-embedding

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 2026-10-22.

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 2026-10-21 · 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 2026-09-21 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

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.

Can I run it?View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-s2593817-sft-sql-embedding/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

8 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

Informations sur le modèle

sft-sql-embedding is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (438 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: unknown. The SHA-256 prefix is 862b852885ed. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Contenu inclus

8 hosted of 12 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

À propos de ce modèle

External Hugging Face catalog record for s2593817/sft-sql-embedding. Task: sentence similarity. Library: sentence transformers. Base model: sentence-transformers/all-mpnet-base-v2. Popularity signal at import: 33,960 downloads and 4 likes.

Informations clés

Hosted here: 8 hosted of 12 listed
Full repo upstream: 438.9 MB
Recommended file: 438 MB · model.safetensors
Format: safetensors
File hashes: Hashes recorded. Date not recorded.

Licence et source

License: unknown

8 hosted of 12 listed

No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.

See the JSON record →

License: unknown
Task: sentence similarity and retrieval
Hosted here: 8 files, 438.7 MB
Full repo upstream: 438.9 MB
Recommended file: 438 MB · model.safetensors
Files: 8 hosted of 12 listed
Download: Download here (8 hosted files)
Added to Hugging Bay: Sep 21, 2026
Updated at source: Sep 21, 2026
Source: s2593817/sft-sql-embedding

FAQ

What is this model?

s2593817/sft-sql-embedding is an embedding model for sentence similarity and retrieval published by s2593817, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for sentence similarity: s2593817/sft-sql-embedding · sentence transformers

Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

How big is it?

Hosted here: 8 files, 438.7 MB. Full repo upstream: 438.9 MB. The recommended download, model.safetensors, is 438 MB.

What can I download here?

Hosted here: 8 files, 438.7 MB. Full repo upstream: 438.9 MB.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-s2593817-sft-sql-embedding/safety on Hugging Bay.

Will s2593817/sft-sql-embedding run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.