Skip to content

docs: update README for CUDA 13.0, Python 3.11-3.13 #175

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
wejoncy merged 1 commit into from
Mar 21, 2026
Merged

docs: update README for CUDA 13.0, Python 3.11-3.13 #175

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
15 changes: 5 additions & 10 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -34,33 +34,28 @@ Features:
- [x] Export to ONNX model, inference by OnnxRuntime

*Latest News* 🔥
- [2026/03] CUDA 13.0 support, PyTorch 2.10, Python 3.11-3.13
- [2026/03] Support H100/H200 (sm_90), B200/B300 (sm_100), RTX 5090 (sm_120)
- [2024/03] ONNX Models export API
- [2024/01] Support [HQQ](https://github.com/mobiusml/hqq) algorithm
- [2023/12] The first PyPi package released

## Installation
Easy to install qllm from PyPi [cu124]
Easy to install qllm from PyPi

`pip install qllm`


Install from release package, CUDA-124 is supported.
[py310,py311,py312] https://github.com/wejoncy/QLLM/releases
Install from release package, CUDA 13.0 is supported.
[py311, py312, py313] https://github.com/wejoncy/QLLM/releases

Build from Source

**Please set ENV EXCLUDE_EXTENTION_FOR_FAST_BUILD=1 for fast build**

If you are using CUDA-124
```
pip install git+https://github.com/wejoncy/QLLM.git --no-build-isolation
```
OR CUDA-118/121
```
git clone https://github.com/wejoncy/QLLM.git
cd QLLM
python setup.py install
```

# How to use it

Expand Down
Loading