langcache-embed-v1 safetensors download | Hugging Bay

Q: What is this model?

redis/langcache-embed-v1 is an embedding model for sentence similarity and retrieval published by redis, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for sentence similarity: redis/langcache-embed-v1 · sentence transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 1.79 GB. The recommended download, model.safetensors, is 596.1 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 1.79 GB.

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-v1/safety on Hugging Bay.

Q: Will redis/langcache-embed-v1 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.

redis

langcache-embed-v1

Can I run langcache-embed-v1 on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

langcache-embed-v1 is an embedding model for sentence similarity and retrieval. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: f4d82e69a60b9ff8af6cc7605e21b38fd1f3396e41ccf390f4e75a5a3ecd2e26. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-20 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

redis/langcache-embed-v1

Model details

sentence similarity and retrievalLicense: unknownSHA-256 recorded for 10 of 14 filessafetensors · ONNX · BIN

Content controls: not assessed.

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

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-redis-langcache-embed-v1/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

8 hosted of 14 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors596 MB · 1 file Download · 596 MB (1 file)

Open-file help

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Check your download →

Compare your file’s SHA-256 with the recorded hash.

8 hosted of 14 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	596.1 MB	`f4d82e69…3ecd2e26` `f4d82e69a60b9ff8af6cc7605e21b38fd1f3396e41ccf390f4e75a5a3ecd2e26`	Hosted	Baixar
`onnx/model.onnx`	596.5 MB	`935ca87f…c31c5150` `935ca87f24ea1f7374313cc6498726316214e24aafd14bf4e05bb8d2c31c5150`	Upstream only	File metadata
`openvino/openvino_model.bin`	596.1 MB	`a8463d30…a5b98587` `a8463d309f5f9f72f370db7ea48a7eca5a7b16373c94b5162a273032a5b98587`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	296 bytes	—	Upstream only	File metadata
`config.json`	1.21 KB	`82779b8d…a97218d2` `82779b8d52566907948b15d853d113d24275004831b3cec0164af54ca97218d2`	Hosted	Baixar
`config_sentence_transformers.json`	205 bytes	`1c962cd1…2b936240` `1c962cd1cf6f96e82ce8aa900d5a2b8a572c46635eea564bef590be22b936240`	Hosted	Baixar
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Baixar
`openvino/openvino_model.xml`	792 KB	—	Upstream only	File metadata
`sentence_bert_config.json`	54 bytes	`eb9b44b1…40776eb1` `eb9b44b13c0f52a3b3685c3b1cbdea1ba8b04bea123b98f61610048940776eb1`	Hosted	Baixar
`special_tokens_map.json`	694 bytes	`ea97ecdb…1be81049` `ea97ecdbcc73713039d8d64dbb05e3689495c96657fbd9a18f5bed381be81049`	Hosted	Baixar
`tokenizer_config.json`	21 KB	`ed562779…fe734201` `ed56277917b937e8dfd5bea7c8ce6574b489a674d4ee6e80ad8cd963fe734201`	Hosted	Baixar
`tokenizer.json`	3.58 MB	`bb637767…f6ac543d` `bb637767e8dfb8044597df6c58243bff2e592ae9e3b310c0bbdb8591f6ac543d`	Hosted	Baixar
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	5.38 KB	—	Upstream only	File metadata

Verificar um download

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

langcache-embed-v1

Can I run langcache-embed-v1 on my computer?

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