https://github.com/vllm-project/compressed-tensors
compression quantization
Score: 25.47885271238572
Last synced: about 23 hours ago
JSON representation
Repository metadata:
A safetensors extension to efficiently store sparse quantized tensors on disk
- Host: GitHub
- URL: https://github.com/vllm-project/compressed-tensors
- Owner: vllm-project
- License: apache-2.0
- Created: 2024-04-02T15:12:29.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2026-10-31T05:03:06.000Z (3 days ago)
- Last Synced: 2026-11-01T12:34:01.996Z (1 day ago)
- Topics: compression, quantization
- Language: Python
- Homepage: https://docs.vllm.ai/projects/compressed-tensors
- Size: 3.51 MB
- Stars: 333
- Watchers: 9
- Forks: 144
- Open Issues: 65
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: SECURITY.md
Owner metadata:
- Name: vLLM
- Login: vllm-project
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/136984999?v=4
- Repositories: 54
- Last Synced at: 2026-11-01T12:33:04.108Z
- Profile URL: https://github.com/vllm-project
GitHub Events
Total
- Create event: 73
- Delete event: 71
- Fork event: 7
- Issue comment event: 113
- Issues event: 23
- Member event: 6
- Pull request event: 129
- Pull request review comment event: 130
- Pull request review event: 191
- Push event: 495
- Release event: 1
- Watch event: 32
- Total: 1271
Last Year
- Create event: 69
- Delete event: 66
- Fork event: 7
- Issue comment event: 103
- Issues event: 21
- Pull request event: 122
- Pull request review comment event: 117
- Pull request review event: 166
- Push event: 451
- Release event: 1
- Watch event: 30
- Total: 1153
Committers metadata
Last synced: 2 days ago
Total Commits: 654
Total Committers: 74
Avg Commits per committer: 8.838
Development Distribution Score (DDS): 0.703
Commits in past year: 276
Committers in past year: 56
Avg Commits per committer in past year: 4.929
Development Distribution Score (DDS) in past year: 0.656
| Name | Commits | |
|---|---|---|
| Kyle Sayers | k****s@g****m | 194 |
| Dipika Sikka | d****1@g****m | 87 |
| Sara Adkins | s****a@n****m | 48 |
| dhuangnm | 7****m | 31 |
| dbogunowicz | d****n@n****m | 29 |
| Benjamin Fineran | b****n | 24 |
| Brian Dellabetta | b****a | 24 |
| Rahul Tuli | r****l@n****m | 23 |
| HDCharles | 3****s | 21 |
| George | g****e@n****m | 15 |
| Sawyer Bowerman | s****a@r****m | 14 |
| Michael Goin | m****l@n****m | 14 |
| Roderick Wu | r****3@g****m | 9 |
| shanjiaz | 4****z | 9 |
| Domenic Barbuzzi | d****i@g****m | 8 |
| Itay Etelis | 9****s | 8 |
| Ishrith Gowda | i****a@b****u | 6 |
| Fynn Schmitt-Ulms | f****t@r****m | 6 |
| YinHanke | h****n@g****m | 5 |
| Yi Liu | y****u@i****m | 4 |
| ElizaWszola | e****a@r****m | 4 |
| Eldar Kurtić | e****4@g****m | 3 |
| wguo7 | 1****7 | 3 |
| jxj | x****g@d****o | 3 |
| Rohan Bandaru | 9****6 | 3 |
| Deepak Kumar | d****u@r****m | 3 |
| Mark Kurtz | m****z@g****m | 2 |
| Arijit Kumar Roy | 4****3 | 2 |
| Derek Kozikowski | 1****m | 2 |
| Ganesh R | g****r@a****m | 2 |
| and 44 more... | ||
Issue and Pull Request metadata
Last synced: 2 days ago
Total issues: 33
Total pull requests: 226
Average time to close issues: about 2 months
Average time to close pull requests: 17 days
Total issue authors: 23
Total pull request authors: 54
Average comments per issue: 2.88
Average comments per pull request: 2.85
Merged pull request: 113
Bot issues: 0
Bot pull requests: 0
Past year issues: 31
Past year pull requests: 224
Past year average time to close issues: about 1 month
Past year average time to close pull requests: 16 days
Past year issue authors: 22
Past year pull request authors: 53
Past year average comments per issue: 2.74
Past year average comments per pull request: 2.83
Past year merged pull request: 113
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- kylesayrs (9)
- brian-dellabetta (2)
- tritsystem (2)
- zues75 (1)
- HDCharles (1)
- sarahec (1)
- rohan9446 (1)
- BeichenHuang (1)
- amogh-nagri-11 (1)
- xin3he (1)
- Marx1048596 (1)
- yurivict (1)
- yiliu30 (1)
- Roderick-Wu (1)
- hammertoe (1)
Top Pull Request Authors
- kylesayrs (75)
- Roderick-Wu (20)
- dsikka (15)
- soyr-redhat (15)
- HDCharles (12)
- brian-dellabetta (9)
- ElizaWszola (7)
- wguo7 (7)
- git-jxj (5)
- ishrith-gowda (5)
- mgoin (3)
- yiliu30 (3)
- mottopanikeiku (2)
- KKothuri (2)
- harivilasp (2)
Top Issue Labels
- good first issue (7)
- stale (4)
- bug (3)
- keep-open (2)
- question (1)
- documentation (1)
- enhancement (1)
Top Pull Request Labels
- ready (89)
- needs-rebase (27)
- documentation (20)
- quality-failed (9)
- stale (5)
- bug (1)
- enhancement (1)
Package metadata
- Total packages: 3
-
Total downloads:
- conda: 375 total
- pypi: 3,946,107 last-month
- Total dependent packages: 1 (may contain duplicates)
- Total dependent repositories: 0 (may contain duplicates)
- Total versions: 238
- Total maintainers: 1
spack.io: py-compressed-tensors
Library for utilization of compressed safetensors of neural network models.
- Homepage: https://github.com/vllm-project/compressed-tensors
- Licenses: []
- Latest release: 0.17.0 (published about 1 month ago)
- Last Synced: 2026-10-31T15:35:54.629Z (2 days ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 0.0%
- Average: 25.321%
- Dependent packages count: 50.643%
pypi.org: compressed-tensors
Library for utilization of compressed safetensors of neural network models
- Homepage: https://github.com/vllm-project/compressed-tensors
- Documentation: https://compressed-tensors.readthedocs.io/
- Licenses: Apache 2.0
- Latest release: 0.20.1 (published 5 days ago)
- Last Synced: 2026-10-31T15:34:58.108Z (2 days ago)
- Versions: 234
- Dependent Packages: 1
- Dependent Repositories: 0
- Downloads: 3,946,107 Last month
-
Rankings:
- Dependent packages count: 9.489%
- Average: 36.047%
- Dependent repos count: 62.605%
- Maintainers (1)
anaconda.org: compressed-tensors
The compressed-tensors library extends the safetensors format, providing a versatile and efficient way to store and manage compressed tensor data. This library supports various quantization and sparsity schemes, making it a unified format for handling different model optimizations like GPTQ, AWQ, SmoothQuant, INT8, FP8, SparseGPT, and more.
- Homepage: https://github.com/vllm-project/compressed-tensors
- Licenses: Apache-2.0
- Latest release: 0.10.2 (published 10 months ago)
- Last Synced: 2026-05-19T19:04:23.968Z (6 months ago)
- Versions: 2
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 375 Total
-
Rankings:
- Dependent packages count: 38.41%
- Average: 40.145%
- Dependent repos count: 41.881%
Dependencies
- neuralmagic/nm-actions/actions/install-whl v1.2.0 composite
- actions/checkout v4 composite
- actions/setup-python v5 composite
- actions/stale 997185467fa4f803885201cee163a9f38240193d composite