langcache-embed-v3-experimental download | Hugging Bay

Q: What is this model?

redis/langcache-embed-v3-experimental is an embedding model for sentence similarity and retrieval published by redis, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: redis/langcache-embed-v3-experimental · 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: at least 8 listed files; full count and size unknown. Full repo upstream: 541.2 MB. The recommended download, model.safetensors, is 298 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 541.2 MB. The original release is at https://huggingface.co/redis/langcache-embed-v3-experimental.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-redis-langcache-embed-v3-experimental/safety on Hugging Bay.

Q: Will redis/langcache-embed-v3-experimental 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.

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langcache-embed-v3-experimental

redis/langcache-embed-v3-experimental

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 20 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-redis-langcache-embed-v3-experimental/model.safetensors",
    "model.safetensors",
)

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8 hosted of 20 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors298 MB · 1 file Download · 298 MB (1 file)

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8 hosted of 20 listed

Hashes recorded. Date not recorded.

File	大小	SHA-256	来源	下载
Weights
`model.safetensors` Default	298 MB	`1479976d…71dabb45` `1479976ddc676083b781dc9b89f7723bccb32d8794e61988c09761f171dabb45`	Hosted	下载
`training_args.bin`	6.22 KB	`3f40b648…46841328` `3f40b6487c9187d4431a74683725bf6156f0fb957d02f129aff2a51146841328`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	312 bytes	—	Upstream only	File metadata
`config.json`	1.21 KB	`41662075…cd9a7c8a` `4166207572a7ac35810780078afcf07bf6812d927cec7ba4e5a249f3cd9a7c8a`	Hosted	下载
`config_sentence_transformers.json`	283 bytes	`8dbf936d…1f3de021` `8dbf936d7d9b8da8795b8982be061d30253a350ddf8673da069936a01f3de021`	Hosted	下载
`eval/Information-Retrieval_evaluation_test_predictions_cosine.jsonl`	130.7 MB	`a7513ea1…c5cefc6c` `a7513ea12292da2fbedbe43cfc68cb6883f404967e372aebb74e8569c5cefc6c`	Upstream only	File metadata
`eval/Information-Retrieval_evaluation_test_results.csv`	34.8 KB	—	Upstream only	File metadata
`eval/Information-Retrieval_evaluation_train_predictions_cosine.jsonl`	108.7 MB	`27b50e1c…ccdd6e08` `27b50e1c121c08cfe7faeeb377498a81ce06c9510cefbc043482b458ccdd6e08`	Upstream only	File metadata
`eval/Information-Retrieval_evaluation_train_results.csv`	3.56 KB	—	Upstream only	File metadata
`eval/binary_classification_evaluation_test_results.csv`	89.6 KB	—	Upstream only	File metadata
`eval/binary_classification_evaluation_val_results.csv`	31.4 KB	—	Upstream only	File metadata
`final_metrics.json`	296 bytes	—	Upstream only	File metadata
`initial_metrics.json`	426 bytes	—	Upstream only	File metadata
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	下载
`sentence_bert_config.json`	57 bytes	`00eab7d7…a0dc22c8` `00eab7d7ae61ac1e216303070635438bf6c4e98480701259b4decf1ea0dc22c8`	Hosted	下载
`tokenizer.json`	3.58 MB	`9b9de478…796160b7` `9b9de4781832cd7364002bcee04026657aac03da406fc3f305db89ef796160b7`	Hosted	下载
`tokenizer_config.json`	20.9 KB	`55464a59…06c4881d` `55464a59d0b27fd0d2b290e74169392011f05f86031d128b7c545f0b06c4881d`	Hosted	下载
`special_tokens_map.json`	694 bytes	`ea97ecdb…1be81049` `ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049`	Hosted	下载
Docs
`.gitattributes`	1.73 KB	—	Upstream only	File metadata
`README.md`	15.6 KB	—	Upstream only	File metadata

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langcache-embed-v3-experimental

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