llm-retriever-base safetensors download | Hugging Bay

Q: What is this model?

intfloat/llm-retriever-base is an embedding model for text embeddings published by intfloat, added to Hugging Bay Jul 1, 2026. Model from Hugging Face: intfloat/llm-retriever-base

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: at least 7 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/intfloat/llm-retriever-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-intfloat-llm-retriever-base/safety on Hugging Bay.

Q: Will intfloat/llm-retriever-base 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.

intfloat

llm-retriever-base

intfloat/llm-retriever-base

Model details

text embeddingsLicense: mitSHA-256 recorded for 7 of 9 filessafetensors · BIN

Content controls: not assessed.

Listed for extracting features; for developers building feature extraction tools. Catalog sources: license, task.

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-intfloat-llm-retriever-base/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

7 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	438 MB	`565dd4f1…8bf6ecfa` `565dd4f1cc6318ccf07af8680c27fd935b3b56ca2684d1af58abcd4e8bf6ecfa`	Hosted	Herunterladen
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`config.json`	645 bytes	`71edb5a6…29c539c1` `71edb5a67de84062f9a9755672ab07e98cf1c981b6cea3191bd3483729c539c1`	Hosted	Herunterladen
`tokenizer_config.json`	314 bytes	`ae83fa6c…a0ca4544` `ae83fa6ca0333117ff12606020af925d648667ef70d92ff7f27d781ba0ca4544`	Hosted	Herunterladen
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Herunterladen
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Herunterladen
`tokenizer.json`	711.4 KB	`d241a60d…1f9e5c66` `d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66`	Hosted	Herunterladen
Docs
`README.md`	21 bytes	`3e0e15fa…7b650567` `3e0e15fa0c5cc81675bd69af8eb469d128a725c1a7bfc71f03b7877b7b650567`	Hosted	Herunterladen
`.gitattributes`	0 bytes	—	Upstream only	File metadata

Einen Download prüfen

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.

llm-retriever-base

Einen Download prüfen

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