nomic-embed-code safetensors download | Hugging Bay

Q: What is this model?

nomic-ai/nomic-embed-code is an embedding model for sentence similarity and retrieval published by nomic-ai, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for sentence similarity: nomic-ai/nomic-embed-code · 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: 15 files, 28.3 GB. Full repo upstream: 28.3 GB. The recommended download, a 6-file weight set, is 28.3 GB.

Q: What can I download here?

Hosted here: 15 files, 28.3 GB. Full repo upstream: 28.3 GB. The original release is at https://huggingface.co/nomic-ai/nomic-embed-code.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 15 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-nomic-ai-nomic-embed-code/safety on Hugging Bay.

Q: Will nomic-ai/nomic-embed-code 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

nomic-embed-code

nomic-ai/nomic-embed-code

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 15 of 20 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

15 hosted of 20 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model-00001-of-00006.safetensors`	4.98 GB	`e3305343…69359eda` `e33053439bc99e1fdc72a0ad6d9f0bae0b9afc84c34b51e0e8986dd769359eda`	Hosted	下载
`model-00002-of-00006.safetensors`	4.78 GB	`a3ada145…d261e457` `a3ada145dd42a034de6267ad12d2cc02043b1bc41738590094ace97ed261e457`	Hosted	下载
`model-00003-of-00006.safetensors`	4.93 GB	`d395d51e…709da0ff` `d395d51ea31cd5b1551f9c15e836709f01f6af542d62089f06b7c06e709da0ff`	Hosted	下载
`model-00004-of-00006.safetensors`	4.93 GB	`9090fd22…1536e4d1` `9090fd22409a92917dc4e14540979574c7aeaf2bac12e51402f8983d1536e4d1`	Hosted	下载
`model-00005-of-00006.safetensors`	5 GB	`4f212fd1…dcbe9972` `4f212fd19c01b5e928fd5780257b2e4c9d617f4c3f5733294570eda2dcbe9972`	Hosted	下载
`model-00006-of-00006.safetensors`	3.66 GB	`b2742bab…ca0331e8` `b2742bab0012d717fda6e18f7efff1146f8e7f44d678dc04cac83bddca0331e8`	Hosted	下载
Tokenizer & config
`1_Pooling/config.json`	297 bytes	—	Upstream only	File metadata
`added_tokens.json`	605 bytes	`58b54bbe…1968060b` `58b54bbe36fc752f79a24a271ef66a0a0830054b4dfad94bde757d851968060b`	Hosted	下载
`config.json`	704 bytes	`245287b1…df581b6f` `245287b1c81bdf4ce9223671a612146d842268f76ced85623e711061df581b6f`	Hosted	下载
`config_sentence_transformers.json`	274 bytes	`e26fdbd3…57ee8af2` `e26fdbd3f969e63d3fff779a1333f12c28b272a40e9841e7677b756b57ee8af2`	Hosted	下载
`merges.txt`	1.67 MB	—	Upstream only	File metadata
`model.safetensors.index.json`	25.7 KB	`945bc6c9…d86ade8b` `945bc6c92ec7806e08a4595768a78f4d28f17ff9dc82b22d8a65486bd86ade8b`	Hosted	下载
`modules.json`	349 bytes	`84e40c8e…7cf642cf` `84e40c8e006c9b1d6c122e02cba9b02458120b5fb0c87b746c41e0207cf642cf`	Hosted	下载
`sentence_bert_config.json`	55 bytes	`1140b92d…25169a65` `1140b92d307aec9383d897169c9f489f3a568787b80bf760f5d7cc9d25169a65`	Hosted	下载
`special_tokens_map.json`	613 bytes	`76862e76…dd3a1ecd` `76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd`	Hosted	下载
`tokenizer.json`	11.4 MB	`9c5ae00e…7b7fdafa` `9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa`	Hosted	下载
`tokenizer_config.json`	7.3 KB	`959e7f1d…b1128ee4` `959e7f1d9a1b7641a6d6ce05ca97b75c7894fcb66cbe5a040406458fb1128ee4`	Hosted	下载
`vocab.json`	2.78 MB	—	Upstream only	File metadata
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	5.84 KB	—	Upstream only	File metadata

检查下载文件

In the folder where you saved added_tokens.json, run:

macOS

shasum -a 256 -- 'added_tokens.json'

Linux

sha256sum -- 'added_tokens.json'

Windows

Get-FileHash -LiteralPath 'added_tokens.json' -Algorithm SHA256

Compare the result with the recorded SHA-256.

类似的托管模型

浏览托管模型

nomic-embed-code

检查下载文件

类似的托管模型

Cookies