mini-gte safetensors download (265 MB) | Hugging Bay

Q: What is this model?

prdev/mini-gte is an embedding model for sentence similarity and retrieval published by prdev, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: prdev/mini-gte · 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: at least 8 listed files; full count and size unknown. Full repo upstream: 267.4 MB. The recommended download, model.safetensors, is 265.5 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 267.4 MB. The original release is at https://huggingface.co/prdev/mini-gte.

Q: 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-prdev-mini-gte/safety on Hugging Bay.

Q: Will prdev/mini-gte 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.

prdev

mini-gte

prdev/mini-gte

sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for sentence similarity: prdev/mini-gte · sentence transformers

View as JSON →

8 hosted of 17 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	265.5 MB	`abaa3ca6…8974ea51` `abaa3ca6ba670db88b0d70cf33d5545e3b45f7cb03d620accf05c7bc8974ea51`	Hosted	Herunterladen
Tokenizer & config
`.ipynb_checkpoints/mteb_eval-checkpoint.py`	2.34 KB	—	Upstream only	File metadata
`1_Pooling/config.json`	296 bytes	—	Upstream only	File metadata
`config.json`	551 bytes	`b582c3bf…f88118f7` `b582c3bf8536b8d071aae1035ef42a9b5ec0ca585bbc15a807a2775df88118f7`	Hosted	Herunterladen
`config_sentence_transformers.json`	214 bytes	`f18cff7d…60bf1d65` `f18cff7db16a1efe83a93daacf19e3068b92144f82bb1f179735ed0360bf1d65`	Hosted	Herunterladen
`github logo.png`	265.6 KB	`507216af…cfa8897d` `507216afb80a4898dff56eeea3be5f135cce31ca247ea024447c1792cfa8897d`	Upstream only	File metadata
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Herunterladen
`mteb_eval.py`	2.34 KB	—	Upstream only	File metadata
`qtack_logo.png`	265.6 KB	`507216af…cfa8897d` `507216afb80a4898dff56eeea3be5f135cce31ca247ea024447c1792cfa8897d`	Upstream only	File metadata
`sentence_bert_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Herunterladen
`tokenizer_config.json`	1.23 KB	`a3c9410f…e1b0f6af` `a3c9410f27554c6e26af779fd147e536c6c5f9e5cb0e6b8f38ddaa25e1b0f6af`	Hosted	Herunterladen
`vocab.txt`	231.5 KB	—	Upstream only	File metadata
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Herunterladen
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	Herunterladen
Docs
`.gitattributes`	1.63 KB	—	Upstream only	File metadata
`README.md`	236.4 KB	—	Upstream only	File metadata
`model_card.md`	241.9 KB	—	Upstream only	File metadata

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In the folder where you saved model.safetensors, run:

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Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

mini-gte

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