# onnxsim_large_model

**Repository Path**: young_chiang/onnxsim_large_model

## Basic Information

- **Project Name**: onnxsim_large_model
- **Description**: https://github.com/luchangli03/onnxsim_large_model.git
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-09-24
- **Last Updated**: 2025-09-24

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# onnxsim_large_model

simplify >2GB large onnx model

Can be used to simplify large onnx exported from stable diffusion or large language models.

## Examples

```python
python simplify_large_onnx.py -m model.onnx
```

-o can be used to set output file path or output dir.

you can set model input shape before onnx sim by setting a json str:

```
python simplify_large_onnx.py -m model.onnx --input_shape  '{"input":[1,1,4096]}'
```

--skip can be used to disable optimizations for onnxsim

This project also works for small onnx models and you can set --save_extern_data 0 to avoid save the weight into extern data file.

## How this project works

1. we replace large initializers in onnx models by model inputs.

2. then simplify the onnx model.
3. recover original initializers and remove model inputs.

## Note

Please install onnxsim>=0.4.24

The project (all versions) and its developers are not responsible for the correctness of the exported models, and any consequences arising from the use of the project and exported models.