mmlw-e5-small safetensors download (471 MB) | Hugging Bay

Q: What is this model?

sdadas/mmlw-e5-small is an embedding model for sentence similarity and retrieval published by sdadas, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: sdadas/mmlw-e5-small · 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: 963.5 MB. The recommended download, model.safetensors, is 470.6 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 963.5 MB. The original release is at https://huggingface.co/sdadas/mmlw-e5-small.

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-sdadas-mmlw-e5-small/safety on Hugging Bay.

Q: Will sdadas/mmlw-e5-small 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.

sdadas

mmlw-e5-small

sdadas/mmlw-e5-small

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 10 of 13 filessafetensors · BIN

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 →

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-sdadas-mmlw-e5-small/model.safetensors",
    "model.safetensors",
)

Other ways

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8 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors471 MB · 1 file Download · 471 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 13 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	470.6 MB	`1cc389ce…c529c9fd` `1cc389cecd4b5458298bb8493f00de120a5b358caa4b3124c63bfcf2c529c9fd`	Hosted	Baixar
`pytorch_model.bin`	470.7 MB	`c6f7d47e…5b5a9d2c` `c6f7d47e211d47d1b8fe47e686d004692e9656ef8673c5f0b3bae3195b5a9d2c`	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	190 bytes	—	Upstream only	File metadata
`config.json`	681 bytes	`595f9b28…f7eb4315` `595f9b28ee739d355cff0be474ccda475214e0b2a53993e665fa1de3f7eb4315`	Hosted	Baixar
`config_sentence_transformers.json`	127 bytes	`ad36309a…c06ce463` `ad36309aa7927231717487b28f198d0bb55cbd5da37eeaae76ff8f49c06ce463`	Hosted	Baixar
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Baixar
`sentence_bert_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Baixar
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Upstream only	File metadata
`tokenizer.json`	17.1 MB	`3ca5f734…87b8c3a6` `3ca5f734b9407eb910ec87ecf2a0325a7c5c3436836ba12c600b0ce787b8c3a6`	Hosted	Baixar
`tokenizer_config.json`	443 bytes	`a1d6bc87…ff53425b` `a1d6bc8734a6f635dc158508bef000f8e2e5a759c7d92f984b2c86e5ff53425b`	Hosted	Baixar
`special_tokens_map.json`	167 bytes	`d05497f1…1afc07a7` `d05497f1da52c5e09554c0cd874037a083e1dc1b9cfd48034d1c717f1afc07a7`	Hosted	Baixar
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	30.9 KB	—	Upstream only	File metadata

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shasum -a 256 -- 'model.safetensors'

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sha256sum -- 'model.safetensors'

Windows

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

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mmlw-e5-small

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