Skip to main content

Pure-Python safetensors

Project description

pure_safetensors

Safetensors library but in pure clean Python. Run it on PyPy or IronPython or wherever.

Dependencies

We try to keep dependencies light:

  • attrs dataclass library (2881 LoC)
  • marshmallow serialization and validation library (2647 LoC)
  • sortedcollections tiny sorted collections library (339 LoC) built on top of sortedcontainers (1493 LoC)
  • (optional) sparsefile sparse file library (191 LoC)
  • (optional) fickle whitelist-based firewall for safe pickle loading, used for PyTorch model conversion (926 LoC)

Optionally, this library integrates with NumPy (if available). PyTorch integration is planned, someday.

To run the tests, you'll need pytest, numpy, and optionally hypothesis.

Examples

from pure_safetensors import SafeTensors

with SafeTensors("/path/to/example.safetensors", "r+") as sf:
    arrays = sf.as_numpy()
    arrays["hello"][3, :] += 420.69
    arrays["world"] = arrays["hello"][0:2] * 10

    # assign multiple arrays! much faster!
    arrays.update(
        {
            "q": my_array_1,
            "k": my_array_2,
            "v": my_array_3,
        }
    )

    # delete arrays! such wonders!
    del arrays["v"]

Do you have an existing PyTorch checkpoint model that you would like to safetensors? Then try running:

python3 -m pure_safetensors import-pytorch /path/to/model.ckpt /path/to/model.safetensors

Bugs

The space allocator is a greedy algorithm based on first-fit-decreasing bin packing. So if you add/remove tensors to an existing file, it may leave too much empty space behind.

PyTorch support isn't implemented yet.

Alternatives

pure_safetensors safetensors pure_torch.py safetensors.cpp
Written in pure Python?
Supports NumPy (without PyTorch)?
Supports PyTorch?
Can work without numpy or pytorch?
Can write safetensors files?
Can modify file in-place to add/remove tensors?
Has test suite?
Stable API? 🤷
Automatically makes files sparse to save space?
Works on platforms without mmap?

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pure_safetensors-0.3.1.tar.gz (17.7 kB view details)

Uploaded Source

Built Distribution

pure_safetensors-0.3.1-py3-none-any.whl (16.3 kB view details)

Uploaded Python 3

File details

Details for the file pure_safetensors-0.3.1.tar.gz.

File metadata

  • Download URL: pure_safetensors-0.3.1.tar.gz
  • Upload date:
  • Size: 17.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.4.2 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for pure_safetensors-0.3.1.tar.gz
Algorithm Hash digest
SHA256 02801cdc630e4ae647557cf549e9d32e8582789c00345f8a9c5af0316e4a87df
MD5 043b85f92d4ed8dd5cba43bcf7e8515c
BLAKE2b-256 32fdf32b8de4deca937566606a162fadec1e6f6496740fe1653c31c1a329403c

See more details on using hashes here.

File details

Details for the file pure_safetensors-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: pure_safetensors-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 16.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.4.2 requests/2.25.1 setuptools/52.0.0 requests-toolbelt/0.9.1 tqdm/4.57.0 CPython/3.9.2

File hashes

Hashes for pure_safetensors-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fa103c8b255050b46d54e358990ac0d80ab15ad263aed95c5c3a1d203a3790b1
MD5 bd0eb7eb8f8df2064452f1c40320e6cc
BLAKE2b-256 4e6f19f54789512f0d5e09709fb97e006f9d2980854650900b2ac0d43ed79643

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page