flan-t5-base safetensors download (990 MB) | Hugging Bay

google

flan-t5-base

google/flan-t5-base

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-base/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.safetensors990 MB · 1 file Download · 990 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Model facts

flan-t5-base is an open-weights language model for general. The primary file is model.safetensors (990 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 1dfb70afdced. 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.

What's included

11 hosted of 12 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for google/flan-t5-base. 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: 1,644,863 downloads and 1,090 likes.

Quick facts

Hosted here: 11 hosted of 12 listed
Full repo upstream: 4.16 GB
Recommended file: 990.3 MB · model.safetensors
Languages: en, fr, ro, de, multilingual
Format: safetensors · BIN · H5
Downloads on Hugging Face: 1,430,130
File hashes: Hashes recorded. Date not recorded.

License & source

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: 4.16 GB
Recommended file: 990.3 MB · 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-base

FAQ

What is this model?

google/flan-t5-base 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-base · 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: 4.16 GB. The recommended download, model.safetensors, is 990.3 MB.

What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: 4.16 GB. The original release is at https://huggingface.co/google/flan-t5-base.

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-base/safety on Hugging Bay.

Will google/flan-t5-base 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.