flan-t5-large safetensors download (3.13 GB) | Hugging Bay

google

flan-t5-large

google/flan-t5-large

Model details

generalLicense: apache-2.0SHA-256 recorded for 11 of 12 filessafetensors · BIN · H5

Content controls: not assessed.

Listed for transforming text; for developers building text processing tools. Catalog sources: license, cardMetadata.license, tags.

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-google-flan-t5-large/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

Selected downloadmodel.safetensors3.13 GB · 1 file Download · 3.13 GB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Datos del modelo

flan-t5-large is an open-weights language model for general. The primary file is model.safetensors (3.13 GB). The primary file needs about 5 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is a9dd06ce490f. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Qué incluye

11 hosted of 12 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for google/flan-t5-large. Library: transformers. Languages: en, fr, ro, de, multilingual. Datasets referenced by card metadata: svakulenk0/qrecc, taskmaster2, djaym7/wiki_dialog, deepmind/code_contests, lambada, gsm8k. Popularity signal at import: 438,302 downloads and 892 likes.

Datos básicos

Hosted here: 11 hosted of 12 listed
Full repo upstream: 12.8 GB
Recommended file: 3.13 GB · model.safetensors
Languages: en, fr, ro, de, multilingual
Format: safetensors · BIN · H5
Downloads on Hugging Face: 490,346
File hashes: Hashes recorded. Date not recorded.

Licencia y origen

License: apache-2.0

11 hosted of 12 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: general
Hosted here: at least 11 listed files; full count and size unknown
Full repo upstream: 12.8 GB
Recommended file: 3.13 GB · model.safetensors
Files: 11 hosted of 12 listed
Download: Download here (11 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Aug 28, 2026
Source: google/flan-t5-large

FAQ

What is this model?

google/flan-t5-large is an open-weights language model for general published by google, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for llm: google/flan-t5-large · transformers

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.

How big is it?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 12.8 GB. The recommended download, model.safetensors, is 3.13 GB.

What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 12.8 GB. The original release is at https://huggingface.co/google/flan-t5-large.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-google-flan-t5-large/safety on Hugging Bay.

Will google/flan-t5-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.