AtmicEmbeddingv2 safetensors download | Hugging Bay

Q: What is this model?

SriRamanaAtmic/AtmicEmbeddingv2 is an embedding model for sentence similarity and retrieval published by SriRamanaAtmic, added to Hugging Bay Sep 23, 2026. Model from Hugging Face for sentence similarity: SriRamanaAtmic/AtmicEmbeddingv2 · unknown

Q: Can I use it commercially?

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

Q: How big is it?

Hosted here: 4 files, 2.26 GB. Full repo upstream: 2.26 GB. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

Hosted here: 4 files, 2.26 GB. Full repo upstream: 2.26 GB. The original release is at https://huggingface.co/SriRamanaAtmic/AtmicEmbeddingv2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-sriramanaatmic-atmicembeddingv2/safety on Hugging Bay.

Q: Will SriRamanaAtmic/AtmicEmbeddingv2 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.

SriRamanaAtmic

AtmicEmbeddingv2

SriRamanaAtmic/AtmicEmbeddingv2

sentence similarity and retrievalLicense: mitHashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for sentence similarity: SriRamanaAtmic/AtmicEmbeddingv2

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Machine-readable artifact endpoints

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AtmicEmbeddingv2

Machine-readable artifact endpoints

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