t5-v1_1-xxl-encoder-gguf GGUF download | Hugging Bay

Q: What is this model?

city96/t5-v1_1-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: city96/t5-v1_1-xxl-encoder-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: 2 files, 2.9 GB. The full repository size is not recorded. The recommended download, t5-v1_1-xxl-encoder-Q4_K_M.gguf (Q4_K_M), is 2.9 GB.

Q: What can I download here?

Hosted here: 2 files, 2.9 GB. Full repo upstream: unknown. The original release is at https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 2 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-city96-t5-v1-1-xxl-encoder-gguf/safety on Hugging Bay.

Q: Will city96/t5-v1_1-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

t5-v1_1-xxl-encoder-gguf

city96/t5-v1_1-xxl-encoder-gguf

Model details

generalLicense: apache-2.0SHA-256 recorded for 2 of 13 filesGGUF

Content controls: not assessed.

The catalog does not give enough information to describe what this model is for. Catalog sources: license.

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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-t5-v1-1-xxl-encoder-gguf/t5-v1_1-xxl-encoder-Q4_K_M.gguf",
    "t5-v1_1-xxl-encoder-Q4_K_M.gguf",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerMac (Apple silicon) and Linux x86_64 installs are listed on the download page. Windows and Intel Mac are not yet. The app checks this model before you choose to download.

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

Selected downloadt5-v1_1-xxl-encoder-Q4_K_M.gguf2.9 GB · 1 file Download · 2.9 GB (1 file)

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Machine-readable artifact endpoints

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t5-v1_1-xxl-encoder-gguf

Machine-readable artifact endpoints

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