gemma-4-E2B-it-text-only safetensors download | Hugging Bay

Q: What is this model?

principled-intelligence/gemma-4-E2B-it-text-only is an embedding model for text embeddings published by principled-intelligence, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for feature extraction: principled-intelligence/gemma-4-E2B-it-text-only · 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?

principled-intelligence/gemma-4-E2B-it-text-only has 2B parameters. Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 9.33 GB. The recommended download, model.safetensors, is 9.29 GB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 9.33 GB. The original release is at https://huggingface.co/principled-intelligence/gemma-4-E2B-it-text-only.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-principled-intelligence-gemma-4-e2b-it-text-only/safety on Hugging Bay.

Q: Will principled-intelligence/gemma-4-E2B-it-text-only 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.

principled-intelligence

gemma-4-E2B-it-text-only

principled-intelligence/gemma-4-E2B-it-text-only

Model details

text embeddingsLicense: apache-2.0SHA-256 recorded for 5 of 7 filessafetensors

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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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-principled-intelligence-gemma-4-e2b-it-text-only/model.safetensors",
    "model.safetensors",
)

Other ways

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5 hosted of 7 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors9.29 GB · 1 file Download · 9.29 GB (1 file)

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

5 hosted of 7 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	9.29 GB	`dea811e3…1745b945` `dea811e3e5ae1adbca4f91c83f53ec93f56094f0e7f137cf7fe80daa1745b945`	Hosted	Download
Tokenizer & config
`chat_template.jinja`	11.9 KB	`55572b8d…3d7d959a` `55572b8d3c8342044e25874c73fe5234b661fa0a57a57f6ef75b58e03d7d959a`	Hosted	Download
`config.json`	2.23 KB	`fcd1def2…b88f6c87` `fcd1def29aa21b33c567704ac836daefe37562902cffc44a37a3dfceb88f6c87`	Hosted	Download
`tokenizer_config.json`	2.69 KB	`820ad481…27b21511` `820ad481cb4152f8df6061f4ae6ae20255777c39b77a9970f1e3cbd427b21511`	Hosted	Download
`tokenizer.json`	32.2 MB	`cc8d3a0c…627bfe0f` `cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f`	Hosted	Download
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	5.45 KB	—	Upstream only	File metadata

Check a download

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

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shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

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

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gemma-4-E2B-it-text-only

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