OpenGVLab / OmniQuant
[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
Why this job: works in the areas we cover, but does not say which job it does

What it does
OmniQuant is a simple and powerful quantization technique for LLMs. The current release supports:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 11 months ago
- Stars
- 969
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.0.1
- Released 3 years ago
- Built with
- Python
- 92% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 68% closed
- 31 still open
- Pull requests
- 12 merged
- 2 waiting
- Releases
- 1
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| dropbox / hqq | 963 | 8 months ago | Apache-2.0 | No downloads |
| Hsu1023 / DuQuant | 190 | 6 months ago | MIT | No downloads |
| SparkEngineAI / QuantClaw-plugin | 115 | 6 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 92%
- Jupyter Notebook 5%
- Shell 3%
Topics
- large-language-models
- llm
- quantization
Project record
- JobOther AI tools
- StatusListed
- Commits63
- Forks93
- Watching16
- Stars in 28 days+8
- CreatedAug 22, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
