mmlw-e5-large safetensors download (2.24 GB) | Hugging Bay

Q: What is this model?

sdadas/mmlw-e5-large is an embedding model for sentence similarity and retrieval published by sdadas, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: sdadas/mmlw-e5-large

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. The full repository size is not recorded. The recommended download, model.safetensors, is 2.24 GB.

Q: What can I download here?

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

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-large/safety on Hugging Bay.

Q: Will sdadas/mmlw-e5-large 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-large

sdadas/mmlw-e5-large

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 13 filessafetensors · BIN

Content controls: not assessed.

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

View as JSON →

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-sdadas-mmlw-e5-large/model.safetensors",
    "model.safetensors",
)

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

Selected downloadmodel.safetensors2.24 GB · 1 file Download · 2.24 GB (1 file)

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

8 hosted of 13 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	2.24 GB	`fce61243…df190ee7` `fce612437e77e406173a296ef5d1792f8ecf1edd6ee63348e59d9671df190ee7`	Hosted	Download
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`1_Pooling/config.json`	191 bytes	`e54c164a…e0597352` `e54c164a07274f2eb45bb724f54a79d1efcc90c41573887cd9a29aeee0597352`	Upstream only	File metadata
`config.json`	716 bytes	`508561bf…b12164d8` `508561bf340f7498ae1cfe0aafb9d1895c6c15bd1b8394c096a1f42bb12164d8`	Hosted	Download
`config_sentence_transformers.json`	127 bytes	`229131b8…df347e9d` `229131b882edf5a9ff44fbb1a0b4a3e2c5ff3ec922e2cf701415319adf347e9d`	Hosted	Download
`modules.json`	229 bytes	`8f4b264b…b3145460` `8f4b264b80206c830bebbdcae377e137925650a433b689343a63bdc9b3145460`	Hosted	Download
`sentence_bert_config.json`	53 bytes	`ec8e29d6…5a8d0d51` `ec8e29d6dcb61b611b7d3fdd2982c4524e6ad985959fa7194eacfb655a8d0d51`	Hosted	Download
`sentencepiece.bpe.model`	5.07 MB	`cfc8146a…e0db2865` `cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865`	Upstream only	File metadata
`tokenizer.json`	17.1 MB	`46afe88d…1891d0a7` `46afe88da5fd71bdbab5cfab5e84c1adce59c246ea5f9341bbecef061891d0a7`	Hosted	Download
`tokenizer_config.json`	418 bytes	`efb5c0d0…3216da15` `efb5c0d09722e5fe59a462cd2a9976ee216d55b037597d997cd3fe833216da15`	Hosted	Download
`special_tokens_map.json`	280 bytes	`06e405a3…6318067f` `06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f`	Hosted	Download
Docs
`README.md`	30.7 KB	`ac32af08…f6f35d28` `ac32af083227e96ea5fd9ccea7a3beb2b8df472bdc8b00c9d5e5af11f6f35d28`	Upstream only	File metadata
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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mmlw-e5-large

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