RetroSearch Browse

Showing content from https://github.com/inisis/OnnxSlim below:

OnnxSlim

OnnxSlim can help you slim your onnx model, with less operators, but same accuracy, better inference speed.

🚀 2025/05/17: OnnxSlim is merged into optimum 🤗🤗🤗
🚀 2025/04/30: Rank 1st in the AICAS 2025 LLM inference optimization challenge
🚀 2025/01/28: Achieved 1M downloads
🚀 2024/06/23: OnnxSlim is merged into transformers.js 🤗🤗🤗
🚀 2024/06/02: OnnxSlim is merged into ultralytics ❤️❤️❤️
🚀 2024/04/30: Rank 1st in the AICAS 2024 LLM inference optimization challenge held by Arm and T-head
🚀 2024/01/25: OnnxSlim is merged to mnn-llm, performance increased by 5%

Benchmark

Installation Using Prebuilt

pip install onnxslim

Install From Source

pip install git+https://github.com/inisis/OnnxSlim@main

Install From Local

git clone https://github.com/inisis/OnnxSlim && cd OnnxSlim/
pip install .

How to use Bash

onnxslim your_onnx_model slimmed_onnx_model

Inscript

import onnx
import onnxslim

model = onnx.load("model.onnx")
slimmed_model = onnxslim.slim(model)
onnx.save(slimmed_model, "slimmed_model.onnx")

For more usage, see onnxslim -h or refer to our examples

Projects using OnnxSlim

References

onnx-graphsurgeon

Polygraphy

onnx-simplifier

tabulate

onnxruntime

Contact

Discord: https://discord.gg/nRw2Fd3VUS QQ Group: 873569894

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4