EasyQuant
Zero-config model quantization for notebooks and Python.
Installation
pip install easyquant
Quick Start
from easyquant import quantize
# Quantize any model with one line
model = quantize("meta-llama/Llama-2-7b", method="4bit")
Features
- Zero Configuration: Works out of the box with sensible defaults
- Multiple Backends: Support for bitsandbytes, quanto, and more
- Notebook Friendly: Designed for interactive use in Jupyter notebooks
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for zeroquant 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| zeroquant-0.1.0.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| zeroquant-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.7 kB
Release files / zeroquant-0.1.0.tar.gz
| Download URL | zeroquant-0.1.0.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|
Release files / zeroquant-0.1.0-py3-none-any.whl
| Download URL | zeroquant-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.2
|
