umt5-xxl-encoder-gguf GGUF download (3.66 GB) | Hugging Bay

Q: What is this model?

city96/umt5-xxl-encoder-gguf is an open-weights language model for general published by city96, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: city96/umt5-xxl-encoder-gguf · gguf

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: 12 files, 66.1 GB. Full repo upstream: 66.1 GB. The recommended download, umt5-xxl-encoder-Q4_K_M.gguf (Q4_K_M), is 3.66 GB.

Q: What can I download here?

Hosted here: 12 files, 66.1 GB. Full repo upstream: 66.1 GB. The original release is at https://huggingface.co/city96/umt5-xxl-encoder-gguf.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 12 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-city96-umt5-xxl-encoder-gguf/safety on Hugging Bay.

Q: Will city96/umt5-xxl-encoder-gguf 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.

city96

umt5-xxl-encoder-gguf

city96/umt5-xxl-encoder-gguf

Model details

generalLicense: apache-2.0Hashes recordedGGUF

Content controls: not assessed.

Not enough information to say what this model is for or who should use it. Catalog sources: license, cardMetadata.license, baseModel.

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-city96-umt5-xxl-encoder-gguf/umt5-xxl-encoder-Q4_K_M.gguf",
    "umt5-xxl-encoder-Q4_K_M.gguf",
)

Other ways

12 hosted of 12 listed · Hashes recorded. Date not recorded.

Selected downloadumt5-xxl-encoder-Q4_K_M.gguf3.66 GB · 1 file Download · 3.66 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Signed by the harbor

12 hosted of 12 listed

Hashes recorded. Date not recorded.

File	Tamaño	SHA-256	Origen	Descargar
Weights
`umt5-xxl-encoder-Q4_K_M.gguf` Default	3.66 GB	`17cf97a5…67584a40` `17cf97a5bbbc60a646d6105b832b6f657ce904a8a1ad970e4b59df0c67584a40`	Hosted	Descargar
`umt5-xxl-encoder-F16.gguf`	11.4 GB	`fa1d36fd…9168bc48` `fa1d36fd54f171ae60fea915c23bd77986b330bbed9729f0d2f8ecbe9168bc48`	Hosted	Descargar
`umt5-xxl-encoder-F32.gguf`	22.7 GB	`8bc12d80…fa9e6c3e` `8bc12d80bc0413573fa58a93626117440b4528f640dd9cb310732e05fa9e6c3e`	Hosted	Descargar
`umt5-xxl-encoder-Q3_K_M.gguf`	3.06 GB	`b7e2ca4c…68a1dba7` `b7e2ca4c493c9d51fa951005e8ceba2f4b6b6877cfb4c36a8955c6cd68a1dba7`	Hosted	Descargar
`umt5-xxl-encoder-Q3_K_S.gguf`	2.86 GB	`f64f8d6d…cb478a5c` `f64f8d6dc4d8a24276df69d0ccea789aae686f7417950a41e6568c30cb478a5c`	Hosted	Descargar
`umt5-xxl-encoder-Q4_K_S.gguf`	3.5 GB	`4a3176f3…930889e0` `4a3176f32fd70c0a335b4419fcbf8c86cc875e23498c0fc06f5b4aa0930889e0`	Hosted	Descargar
`umt5-xxl-encoder-Q5_K_M.gguf`	4.15 GB	`eaea358b…4ebd12ce` `eaea358bb438c5d211721a4feecc162000e3636e9cb96f51e216f1f44ebd12ce`	Hosted	Descargar
`umt5-xxl-encoder-Q5_K_S.gguf`	4.05 GB	`adbc782b…30ca2def` `adbc782b9145a27e15d63dfa25057efca0ac75e2db7d372c901ddaa130ca2def`	Hosted	Descargar
`umt5-xxl-encoder-Q6_K.gguf`	4.67 GB	`9209b4c7…719b09ed` `9209b4c77b34ad8cf3f06b04c6eaa27e7beeebb348a31f85e3b38a1d719b09ed`	Hosted	Descargar
`umt5-xxl-encoder-Q8_0.gguf`	6.04 GB	`2521d4de…39033bbc` `2521d4de0bf9e1cc6549866463ceae85e4ec3239bc6063f7488810be39033bbc`	Hosted	Descargar
Docs
`.gitattributes`	2.16 KB	`56b4be66…040fceb6` `56b4be661a10a2af24896b8a7be045ccda0f9764e44430fe93eaee47040fceb6`	Hosted	Descargar
`README.md`	775 bytes	`3cd82c30…fc092012` `3cd82c30fbdefd57aa522cb5277f5f8b6e51096cc9aed821b3a2d5f5fc092012`	Hosted	Descargar

Comprobar una descarga

In the folder where you saved umt5-xxl-encoder-Q4_K_M.gguf, run:

macOS

shasum -a 256 -- 'umt5-xxl-encoder-Q4_K_M.gguf'

Linux

sha256sum -- 'umt5-xxl-encoder-Q4_K_M.gguf'

Windows

Get-FileHash -LiteralPath 'umt5-xxl-encoder-Q4_K_M.gguf' -Algorithm SHA256

Compare the result with the recorded SHA-256.

umt5-xxl-encoder-gguf

Comprobar una descarga

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