Your message dated Fri, 10 Jul 2026 20:10:18 +0000
with message-id <[email protected]>
and subject line Bug#1038326: fixed in transformers 4.52.2-1
has caused the Debian Bug report #1038326,
regarding ITP: transformers -- State-of-the-art Machine Learning for JAX,
PyTorch and TensorFlow (it ships LLMs)
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
(NB: If you are a system administrator and have no idea what this
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--
1038326: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=1038326
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message ---
Package: wnpp
Severity: wishlist
Owner: Mo Zhou <[email protected]>
X-Debbugs-Cc: [email protected], [email protected]
* Package name : transformers
Upstream Contact: HuggingFace
* URL : https://github.com/huggingface/transformers
* License : Apache-2.0
Description : State-of-the-art Machine Learning for JAX, PyTorch and
TensorFlow
I've been using this for a while.
This package provides a convenient way for people to download and run an LLM
locally.
Basically, if you want to run an instruct fine-tuned large language model with
7B parameters,
you will need at least 16GB of CUDA memory for inference in half/bfloat16
precision.
I have not tried to run any LLM with > 3B parameters with CPU ... that can be
slow.
LLaMa.cpp is a good choice for running LLM on CPU, but that library supports
less models
than this one. Meanwhile, the cpp library only supports inference.
I don't know how many dependencies are still missing, but that should not be
too much.
Jax and TensorFlow are optional dependencies so they can be missing from our
archive.
But anyway, I think running a large language model locally with Debian packages
will
be interesting. The CUDA version of PyTorch is already in the NEW queue.
That said, this is actually a very comprehensive library, which provides far
more functionalities
than running LLMs.
Thank you for using reportbug
--- End Message ---
--- Begin Message ---
Source: transformers
Source-Version: 4.52.2-1
Done: Mo Zhou <[email protected]>
We believe that the bug you reported is fixed in the latest version of
transformers, which is due to be installed in the Debian FTP archive.
A summary of the changes between this version and the previous one is
attached.
Thank you for reporting the bug, which will now be closed. If you
have further comments please address them to [email protected],
and the maintainer will reopen the bug report if appropriate.
Debian distribution maintenance software
pp.
Mo Zhou <[email protected]> (supplier of updated transformers package)
(This message was generated automatically at their request; if you
believe that there is a problem with it please contact the archive
administrators by mailing [email protected])
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512
Format: 1.8
Date: Thu, 09 Jul 2026 19:18:46 -0700
Source: transformers
Binary: python3-transformers
Architecture: source all
Version: 4.52.2-1
Distribution: unstable
Urgency: medium
Maintainer: Debian Deep Learning Team <[email protected]>
Changed-By: Mo Zhou <[email protected]>
Description:
python3-transformers - State-of-the-art pretrained models for inference and
training
Closes: 1038326
Changes:
transformers (4.52.2-1) unstable; urgency=medium
.
[ Kohei Sendai ]
* Initial release. (Closes: #1038326)
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