alt.freeweights.vision / bart-large-cnn
From: facebook <huggingface.co/facebook>Newsgroups: alt.freeweights.visionSubject:

bart-large-cnn

Date: 2026-11-14Commit: 37f520fSigned: 2DC28CC7B26A283B ✓

Summarization model with 406M parameters. Safetensors weights, 8.54 GB in all. Published by facebook under MIT.

406M params8.54GBbart-large-cnnsafetensorspermissive
FactsParams406MSize8.54 GBFormatssafetensorsTasksummarizationLicenseMITFrom sourcepermissive
$ fw get facebook/bart-large-cnn
# manifest sha256 26ab22081fd1… · 8.54 GB · 13 files
$ fw verify ./bart-large-cnn facebook/bart-large-cnn
From sourceHosted (signed)facebook/bart-large-cnnLast check: 2026-11-14 21:35 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Overview

Size
8.54 GB
Weights
1.63 GB (safetensors)
Parameters
406M
Formats
safetensors
Task
summarization
License
MIT (permissive)
Files
13, each with a sha256
Publisher
facebook
Added
2026-11-14
Section
alt.freeweights.vision
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Original release from the publisher.

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Model card

From the publisher at commit 37f520f. Shown as plain text with links; images open at the publisher.

BART (large-sized model), fine-tuned on CNN Daily Mail#

BART model pre-trained on English language, and fine-tuned on CNN Daily Mail. It was introduced in the paper BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension by Lewis et al. and first released in [this repository (https://github.com/pytorch/fairseq/tree/master/examples/bart).

Disclaimer: The team releasing BART did not write a model card for this model so this model card has been written by the Hugging Face team.

Model description#

BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.

BART is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering). This particular checkpoint has been fine-tuned on CNN Daily Mail, a large collection of text-summary pairs.

Intended uses & limitations#

You can use this model for text summarization.

How to use#

Here is how to use this model with the pipeline API:

from transformers import pipeline

summarizer = pipeline("summarization", model="facebook/bart-large-cnn")

ARTICLE = """ New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County, New York.
A year later, she got married again in Westchester County, but to a different man and without divorcing her first husband.
Only 18 days after that marriage, she got hitched yet again. Then, Barrientos declared "I do" five more times, sometimes only within two weeks of each other.
In 2010, she married once more, this time in the Bronx. In an application for a marriage license, she stated it was her "first and only" marriage.
Barrientos, now 39, is facing two criminal counts of "offering a false instrument for filing in the first degree," referring to her false statements on the
2010 marriage license application, according to court documents.
Prosecutors said the marriages were part of an immigration scam.
On Friday, she pleaded not guilty at State Supreme Court in the Bronx, according to her attorney, Christopher Wright, who declined to comment further.
After leaving court, Barrientos was arrested and charged with theft of service and criminal trespass for allegedly sneaking into the New York subway through an emergency exit, said Detective
Annette Markowski, a police spokeswoman. In total, Barrientos has been married 10 times, with nine of her marriages occurring between 1999 and 2002.
All occurred either in Westchester County, Long Island, New Jersey or the Bronx. She is believed to still be married to four men, and at one time, she was married to eight men at once, prosecutors say.
Prosecutors said the immigration scam involved some of her husbands, who filed for permanent residence status shortly after the marriages.
Any divorces happened only after such filings were approved. It was unclear whether any of the men will be prosecuted.
The case was referred to the Bronx District Attorney\'s Office by Immigration and Customs Enforcement and the Department of Homeland Security\'s
Investigation Division. Seven of the men are from so-called "red-flagged" countries, including Egypt, Turkey, Georgia, Pakistan and Mali.
Her eighth husband, Rashid Rajput, was deported in 2006 to his native Pakistan after an investigation by the Joint Terrorism Task Force.
If convicted, Barrientos faces up to four years in prison.  Her next court appearance is scheduled for May 18.
"""
print(summarizer(ARTICLE, max_length=130, min_length=30, do_sample=False))
>>> [{'summary_text': 'Liana Barrientos, 39, is charged with two counts of "offering a false instrument for filing in the first degree" In total, she has been married 10 times, with nine of her marriages occurring between 1999 and 2002. She is believed to still be married to four men.'}]
BibTeX entry and citation info#
@article{DBLP:journals/corr/abs-1910-13461,
  author    = {Mike Lewis and
               Yinhan Liu and
               Naman Goyal and
               Marjan Ghazvininejad and
               Abdelrahman Mohamed and
               Omer Levy and
               Veselin Stoyanov and
               Luke Zettlemoyer},
  title     = {{BART:} Denoising Sequence-to-Sequence Pre-training for Natural Language
               Generation, Translation, and Comprehension},
  journal   = {CoRR},
  volume    = {abs/1910.13461},
  year      = {2019},
  url       = {http://arxiv.org/abs/1910.13461},
  eprinttype = {arXiv},
  eprint    = {1910.13461},
  timestamp = {Thu, 31 Oct 2019 14:02:26 +0100},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1910-13461.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Files

13 files · 8.54 GBWeights 1.63 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 13 files with their sha256
FileSizesha256
.gitattributes445 B98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1
README.md6.01 KBa49b4b7fa5e64a05277d57cb767d9b8e8d4789a09cab9647beadceaaed86e170
config.json1.58 KBc6cb642aec929b65f514ee0ec7c04f9de19f705c143491577ecd8b7cc923c6ed
flax_model.msgpack1.63 GBdda1068890b2e54a98369501ceebbed19edfe184a45581c1ecd228e3f224a4bf
generation_config.json363 B4897361917410254e3132e8fe7786d37f3ef7cff54a650845c1147c2450a790f
generation_config_for_summarization.json363 B4897361917410254e3132e8fe7786d37f3ef7cff54a650845c1147c2450a790f
merges.txt456 KB1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5
model.safetensors1.63 GB40041830399afb5348525ef8354b007ecec4286fdf3524f7e6b54377e17096cb
pytorch_model.bin1.63 GB2ac2745c02ac987d82c78a14b426de58d5e4178ae8039ba1c6881eccff3e82f1
rust_model.ot2.04 GBcd0d1586babffa4e90ca71e230290b55b8ebf634319a1c4200c8506ddbae0ab0
tf_model.h51.63 GB8d845bfe2bbbc0ea00ee11b6e032aa285a008caef008cbbac975454c24a4415f
tokenizer.json1.36 MB847bbeab6174d66a88898f729d52fa8d355fafe1bea101cf960dd404581df70e
vocab.json899 KB9e7f63c2d15d666b52e21d250d2e513b87c9b713cfa6987a82ed89e5e6e50655
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
37f520fa92 pinned now manifest updated, same commit2026-11-14 21:35 UTC13 files · 8.54 GB
37f520fa922026-11-14 21:35 UTC13 files · 8.54 GB

Use it

$ fw get facebook/bart-large-cnn
# manifest sha256 26ab22081fd1… · 8.54 GB · 13 files
$ fw verify ./bart-large-cnn facebook/bart-large-cnn
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/facebook/bart-large-cnn.json --dir ./bart-large-cnn $ python3 fw.py verify ./bart-large-cnn ./facebook__bart-large-cnn.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download facebook/bart-large-cnn --revision 37f520fa929c961707657b28798b30c003dd100b --local-dir ./bart-large-cnn

License

Name
MIT License
Id
MIT
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
a49b4b7fa5e64a05277d57cb767d9b8e8d4789a09cab9647beadceaaed86e170
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Provenance

From: facebook <huggingface.co/facebook>Newsgroups: alt.freeweights.visionSubject: bart-large-cnnDate: 2026-11-14Commit: 37f520fSigned: 2DC28CC7B26A283B ✓
Upstream
facebook/bart-large-cnn
Pinned commit
37f520fa929c961707657b28798b30c003dd100b
Manifest
bart-large-cnn.json · .minisig
Manifest sha256
26ab22081fd1254695c7290a591622e37dcf4f9a6e4e8e083172eee358e90e43
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:35 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/facebook/bart-large-cnn.json $ curl -O https://freeweights.allternit.com/manifests/facebook/bart-large-cnn.json.minisig $ minisign -Vm bart-large-cnn.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

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Quantizations
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Signed manifest
minisign, key 2DC28CC7B26A283B. bart-large-cnn.json. Provenance. Takedown history: none.

Variants

1 quantized or adapter build of bart-large-cnn. Each has its own license check and page.

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