zerank-2-reranker-seq safetensors download | Hugging Bay

Q: What is this model?

baseten-admin/zerank-2-reranker-seq is an open-weights language model for text classification published by baseten-admin, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for text classification: baseten-admin/zerank-2-reranker-seq · unknown

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 13 listed files; full count and size unknown. Full repo upstream: 8.06 GB.

Q: What can I download here?

Hosted here: at least 13 listed files; full count and size unknown. Full repo upstream: 8.06 GB. The original release is at https://huggingface.co/baseten-admin/zerank-2-reranker-seq.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 13 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-baseten-admin-zerank-2-reranker-seq/safety on Hugging Bay.

Q: Will baseten-admin/zerank-2-reranker-seq 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.

baseten-admin

zerank-2-reranker-seq

baseten-admin/zerank-2-reranker-seq

text classificationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for text classification: baseten-admin/zerank-2-reranker-seq

View as JSON →

13 hosted of 14 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model-00001-of-00003.safetensors`	3.96 GB	`a1abf153…a4fffefb` `a1abf153635841f7478e3a22c40a6a313ec0a10a3f18303dead45ebca4fffefb`	Download availability is unknown.	File metadata
`model-00002-of-00003.safetensors`	3.99 GB	`bdf39c7e…437f8c7d` `bdf39c7eeab7c9e9cd7eb7e67d4dd5c3b31b8bc9f38b16c94443915c437f8c7d`	Download availability is unknown.	File metadata
`model-00003-of-00003.safetensors`	99.6 MB	`9f9a00c0…6c58b1db` `9f9a00c08dfa1481392b02f7af637de39f71f744460b147f1a6250056c58b1db`	Download availability is unknown.	File metadata
Tokenizer & config
`chat_template.jinja`	4.69 KB	`77137ede…55998336` `77137ede3bb2f14fabaab01c6e86eb49b77cf3db5061246115796b5f55998336`	Download availability is unknown.	File metadata
`config.json`	1.68 KB	`d1de3298…1fc920c6` `d1de32987548dc71fbaab6d2a12430e2f3ecd84a8922989b46a828fd1fc920c6`	Download availability is unknown.	File metadata
`merges.txt`	1.67 MB	`8831e4f1…08a904d5` `8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5`	Download availability is unknown.	File metadata
`model.safetensors.index.json`	32.9 KB	`1949be90…b6f919cc` `1949be902019bcf09a94b13e2dc849fc446629e4a0ea9c1981c6fbcfb6f919cc`	Download availability is unknown.	File metadata
`tokenizer_config.json`	5.43 KB	`cd5c1909…e83d6c9f` `cd5c1909da4950a610a9e3a6cb6763cff0381d91c6f0838855db8d5ae83d6c9f`	Download availability is unknown.	File metadata
`vocab.json`	2.78 MB	`ca10d7e9…b1440910` `ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910`	Download availability is unknown.	File metadata
`added_tokens.json`	707 bytes	`c0284b58…0833c680` `c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680`	Download availability is unknown.	File metadata
`special_tokens_map.json`	613 bytes	`76862e76…dd3a1ecd` `76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd`	Download availability is unknown.	File metadata
`tokenizer.json`	11.4 MB	`aeb13307…4492dae4` `aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4`	Download availability is unknown.	File metadata
Docs
`.gitattributes`	1.57 KB	—	Download availability is unknown.	File metadata
`README.md`	2.77 KB	`a5bd106d…9c431772` `a5bd106dae7d6679a7b8e84949c1c319075609e6dbf1f711a21974d59c431772`	Download availability is unknown.	File metadata

检查下载文件

In the folder where you saved README.md, run:

macOS

shasum -a 256 -- 'README.md'

Linux

sha256sum -- 'README.md'

Windows

Get-FileHash -LiteralPath 'README.md' -Algorithm SHA256

Compare the result with the recorded SHA-256.

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