aari1995/German_Semantic_V3 Files | Hugging Bay

Q: What is this model?

aari1995/German_Semantic_V3 is an embedding model for sentence similarity and retrieval published by aari1995, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: aari1995/German_Semantic_V3 · sentence transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 11 files, 1.34 GB. Full repo upstream: 2.68 GB. The recommended download, model.safetensors, is 1.34 GB.

Q: What can I download here?

Hosted here: 11 files, 1.34 GB. Full repo upstream: 2.68 GB. The original release is at https://huggingface.co/aari1995/German_Semantic_V3.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-aari1995-german-semantic-v3/safety on Hugging Bay.

Q: Will aari1995/German_Semantic_V3 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.

aari1995

German_Semantic_V3

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What we checked

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Compare sentencessafetensors · ONNXLicense label: apache-2.0Needs its own code to run

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File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors`	1.34 GB	`aef22728…5bdd3ef8` `aef227281a76ca404a5be3c43f4d99571ff8dfd09be21a359201e3cb5bdd3ef8`	Download availability is being checked.	File metadata
`onnx/model.onnx`	1.34 GB	`9429324d…011bf23a` `9429324d93b65fcee489430302c2b94446693f97d6ba41dafb1c3e55011bf23a`	Download availability is being checked.	File metadata
Tokenizer & config
`1_Pooling/config.json`	306 bytes	`80596fed…aba273ce` `80596fedfdf153ff8dbe2d6b2e11f838e2dfc5b79ab6f4f7b629a8b1aba273ce`	Download availability is being checked.	File metadata
`config.json`	1.01 KB	`c89b438a…d319491a` `c89b438a3b56a9592e9c7145afb8769781382ff6d95e1b8cf06692afd319491a`	Download availability is being checked.	File metadata
`config_sentence_transformers.json`	215 bytes	`a8919ef0…938999c9` `a8919ef0adcf8fc72cf6146756004333966629ea7c0abf268eb0a971938999c9`	Download availability is being checked.	File metadata
`configuration_bert.py`	8.24 KB	-	Download availability is being checked.	File metadata
`modeling_bert.py`	97.7 KB	-	Download availability is being checked.	File metadata
`modules.json`	242 bytes	`27e3a229…5f3e413c` `27e3a229cecaf4d6ec90fb8e439d6bd2da7b2e22ff49a23e0b0a293a5f3e413c`	Download availability is being checked.	File metadata
`sentence_bert_config.json`	57 bytes	`b271ca16…a4428993` `b271ca162eb9b1bf34180a8f6e216f439339b0bf5c56885750c829aea4428993`	Download availability is being checked.	File metadata
`special_tokens_map.json`	732 bytes	`5aa43c2f…b895b140` `5aa43c2f985a25296d5a5ce621c2f77376ca8091a47993c492fd5460b895b140`	Download availability is being checked.	File metadata
`tokenizer.json`	729.3 KB	`5343a791…ccd820af` `5343a791f84c16acc0363e14d497d6fc84222feaa5e9705e74f12198ccd820af`	Download availability is being checked.	File metadata
`tokenizer_config.json`	1.53 KB	`0af2ac40…0086f23a` `0af2ac40ebb05b99334aa672e544c490a91b1aa30b30e34fcd96bc7f0086f23a`	Download availability is being checked.	File metadata
`vocab.txt`	239.8 KB	`bf186f7f…f13039a3` `bf186f7fb9cb667d811c08b45ce64d1e8e262277bb053f05d1aef3e9f13039a3`	Download availability is being checked.	File metadata
Docs
`.gitattributes`	1.52 KB	-	Download availability is being checked.	File metadata
`README.md`	6.91 KB	`97167c82…4813f519` `97167c82ce5c50b12ebd1ae8cf7d57d9981fff2b4bde675695f63b364813f519`	Download availability is being checked.	File metadata

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Additional model information

Quick answer: compatibility and sources

Can I run German_Semantic_V3 on my computer?

It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

German_Semantic_V3 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 2026-11-15.

Recorded SHA-256 for model.safetensors: aef227281a76ca404a5be3c43f4d99571ff8dfd09be21a359201e3cb5bdd3ef8. 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.

Page text updated 2026-10-21.

Model metadata: As of 2026-08-29 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-11-15.

Key facts

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Evidence you can inspect (plain text)

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Which date applies to which fact

File availability check: 2026-11-15
Committed page-copy sources: 2026-10-21
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.