CodeRankLLM safetensors download | Hugging Bay

Q: What is this model?

nomic-ai/CodeRankLLM is an open-weights language model for general published by nomic-ai, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: nomic-ai/CodeRankLLM · 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: 14 files, 15.2 GB. Full repo upstream: 15.2 GB. The recommended download, a 4-file weight set, is 15.2 GB.

Q: What can I download here?

Hosted here: 14 files, 15.2 GB. Full repo upstream: 15.2 GB. The original release is at https://huggingface.co/nomic-ai/CodeRankLLM.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 14 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nomic-ai-coderankllm/safety on Hugging Bay.

Q: Will nomic-ai/CodeRankLLM 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.

nomic-ai

CodeRankLLM

nomic-ai/CodeRankLLM

Model details

generalLicense: mitSHA-256 recorded for 14 of 15 filessafetensors

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog sources: license, cardMetadata.license.

View as JSON →

14 hosted of 15 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model-00001-of-00004.safetensors`	4.87 GB	`1d029756…ce105a10` `1d029756bc8accf165a615da759e55468b0e5e7ae35e7d80f4afe0b9ce105a10`	Hosted	Baixar
`model-00002-of-00004.safetensors`	4.93 GB	`71726813…61508e98` `717268132a5a30e34ab7ffdd5c48d8a3ac9b22ab6ffa4adc4c21e70561508e98`	Hosted	Baixar
`model-00003-of-00004.safetensors`	4.33 GB	`647ec69c…cbba0ef9` `647ec69c24045cd3887f3efc41f02b5b7c4862079edc7853c837bf05cbba0ef9`	Hosted	Baixar
`model-00004-of-00004.safetensors`	1.09 GB	`98cf3699…1636c1f5` `98cf369901515e9c74e1829942b5b7765c6ced858179209b243618641636c1f5`	Hosted	Baixar
Tokenizer & config
`added_tokens.json`	605 bytes	`58b54bbe…1968060b` `58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b`	Hosted	Baixar
`config.json`	714 bytes	`0029c6a0…800b0bab` `0029c6a0505839cc85cde04d2dbb8c5c125d833ace7d1a9e8880be5a800b0bab`	Hosted	Baixar
`generation_config.json`	242 bytes	`84ac2065…be2c2f79` `84ac2065d654f0cdefcbdbeac7e8c0cfb41f965d8523698759cec680be2c2f79`	Hosted	Baixar
`merges.txt`	1.67 MB	`8831e4f1…08a904d5` `8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5`	Hosted	Baixar
`model.safetensors.index.json`	27.8 KB	`ee719520…5f91e8e4` `ee71952051124c48961ed74b7741a205d690eb0d61bad956a830af905f91e8e4`	Hosted	Baixar
`special_tokens_map.json`	613 bytes	`76862e76…dd3a1ecd` `76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd`	Hosted	Baixar
`tokenizer.json`	7.03 MB	`d4d510f9…ca6faa52` `d4d510f994b81b6395a82e5a341211481ddfec9ecb1eef999db6fbebca6faa52`	Hosted	Baixar
`tokenizer_config.json`	7.31 KB	`7e88129d…951418e6` `7e88129d9769a0b14b1587a7d5e829fe93ac0e1511636471fdfc0811951418e6`	Hosted	Baixar
`vocab.json`	2.78 MB	`ca10d7e9…b1440910` `ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910`	Hosted	Baixar
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.93 KB	`0a6684d3…266769e5` `0a6684d3c564f1deb96d931cdb00a6fca40c3c4b34bc23f63ee327f0266769e5`	Hosted	Baixar

Verificar um download

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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