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AMD Quark 0.13 documentation

Release Notes

Release Information

Getting Started with AMD Quark

Introduction to Quantization
Installation
Getting started: Introduction
Getting started: Quark for PyTorch
Getting started: Quark for ONNX
PyTorch Tutorials
PyTorch Examples
ONNX Tutorials
ONNX Examples

Supported accelerators

AMD Ryzen AI
AMD Instinct
AMD Adaptive SoC

Advanced AMD Quark Features for PyTorch

Configuring PyTorch Quantization for Large Language Models
Configuring PyTorch Quantization from Scratch
Save and Load Quantized Models
Exporting Quantized Models
Best Practices for Post-Training Quantization (PTQ)
Debugging quantization Degradation
File-to-File LLM Quantization
Language Model Optimization
Activation/Weight Smoothing (SmoothQuant)
Auto SmoothQuant
Activation-aware Weight Quantization (AWQ)
- AWQ end-to-end demo
SVD-Based Error Correction (SVDQuant)
Block Floating Point 16
Extensions
- Integration with AMD Pytorch-light (APL)
- Brevitas Integration
Using MX (Microscaling)
Two Level Quantization Formats
Using Quark Agent Skills (Claude Code, Cursor, and Codex)

Advanced Quark Features for ONNX

Configuring ONNX Quantization
Data and Op Types
Accuracy Improvement
Efficiency Improvement
Tooling
Using Quark Agent Skills (Claude Code)

Third-party contributions

Introduction and guidelines
- MINCE (compact evaluation)
  - MINCE (compact evaluation)
    
    MINCE: Compact Evaluation via Monte-Carlo Subset Sizing
    
    Evaluating a Quark-Quantized Model with MINCE
    
    Adding a New Benchmark to MINCE
    
    Multi-Model Calibration
- Shapeshifter Community Passes
  - Community ONNX Passes
  - Community PyTorch Passes
Adding a new algorithm

Experimental Features

Quark CLI
- Shapeshifter
  - ONNX Model Passes
  - PyTorch Model Passes
Mix Precision Auto-Search
Blockwise Joint Tuning
Speculative Decoding
Built-in Profiling

APIs

PyTorch APIs
ONNX APIs

Troubleshooting and Support

PyTorch Troubleshooting
ONNX Troubleshooting

AMD Quark release history
Quark license

AMD Quark APIs for ONNX
ONNX model quantization algorithm

ONNX model quantization algorithm

ONNX model quantization algorithm#

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Algorithm Classes

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Troubleshooting

Last updated on Sep 28, 2026.

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