https://github.com/amd/quark

Score: 16.256536373080177

Last synced: about 5 hours ago
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Repository metadata:

Host: GitHub
URL: https://github.com/amd/quark
Owner: amd
License: mit
Created: 2024-06-19T10:27:17.000Z (over 2 years ago)
Default Branch: release/0.13
Last Pushed: 2026-09-28T02:28:07.000Z (about 1 month ago)
Last Synced: 2026-10-29T12:09:02.434Z (6 days ago)
Language: Python
Size: 13.5 MB
Stars: 186
Watchers: 2
Forks: 37
Open Issues: 10
Metadata Files:
- Readme: README.md
- License: LICENSE

Owner metadata:

Name: AMD
Login: amd
Email:
Kind: organization
Description:
Website: http://www.amd.com
Location:
Twitter:
Company:
Icon url: https://avatars.githubusercontent.com/u/430818?v=4
Repositories: 126
Last Synced at: 2026-10-31T16:16:36.270Z
Profile URL: https://github.com/amd

GitHub Events

Total

Create event: 7
Delete event: 2
Fork event: 6
Issue comment event: 18
Issues event: 16
Member event: 2
Pull request event: 1
Push event: 43
Release event: 1
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Total: 155

Last Year

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Last synced: 1 day ago

Total Commits: 34
Total Committers: 3
Avg Commits per committer: 11.333
Development Distribution Score (DDS): 0.059

Commits in past year: 21
Committers in past year: 2
Avg Commits per committer in past year: 10.5
Development Distribution Score (DDS) in past year: 0.048

Name	Email	Commits
thiagocrepaldi	t**d@a**m	32
xinlithu	x**u@a**m	1
Spandan Tiwari	1****d	1

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Average time to close issues: 4 months
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Average comments per pull request: 0.29
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Past year issues: 23
Past year pull requests: 7
Past year average time to close issues: 4 months
Past year average time to close pull requests: 8 days
Past year issue authors: 21
Past year pull request authors: 6
Past year average comments per issue: 2.87
Past year average comments per pull request: 0.29
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Package metadata

Total packages: 3
Total downloads:
- pypi: 19,530 last-month
Total dependent packages: 0 (may contain duplicates)
Total dependent repositories: 0 (may contain duplicates)
Total versions: 21
Total maintainers: 2

pypi.org: amd-quark

AMD Quark is a comprehensive cross-platform toolkit designed to simplify and enhance the quantization of deep learning models. Supporting both PyTorch and ONNX models, AMD Quark empowers developers to optimize their models for deployment on a wide range of hardware backends, achieving significant performance gains without compromising accuracy.

Homepage:
Documentation: https://amd-quark.readthedocs.io/
Licenses: MIT License Copyright (c) 2023 Advanced Micro Devices, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Latest release: 0.13 (published about 1 month ago)
Last Synced: 2026-11-03T10:44:03.048Z (1 day ago)
Versions: 19
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 19,530 Last month
Rankings:
- Dependent packages count: 10.82%
- Average: 35.875%
- Dependent repos count: 60.931%
Maintainers (1)
- thiagocrepaldi

nixpkgs-unstable: python314Packages.amd-quark

AMD Quark Model Optimizer

Homepage: https://github.com/amd/Quark
Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/amd-quark/default.nix#L81
Licenses: MIT
Latest release: 0.11.1 (published 8 months ago)
Last Synced: 2026-11-01T11:21:42.841Z (3 days ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
Maintainers (1)
- CertainLach

nixpkgs-unstable: python313Packages.amd-quark

AMD Quark Model Optimizer

Homepage: https://github.com/amd/Quark
Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/amd-quark/default.nix#L81
Licenses: MIT
Latest release: 0.11.1 (published 8 months ago)
Last Synced: 2026-11-01T10:45:54.397Z (3 days ago)
Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Rankings:
- Dependent repos count: 0.0%
- Dependent packages count: 0.0%
- Average: 100%
Maintainers (1)
- CertainLach

Dependencies

examples/onnx/dynamic_quantization/llama2/requirements.txt pypi

Pillow *
Ultralytics *
datasets *
huggingface-hub *
onnx >=1.21.0,<=1.22.0
onnxruntime >=1.22.2,<=1.28.0
onnxruntime-genai ==0.4.0
onnxruntime_extensions >=0.4.2
onnxscript *
opencv-python *
optimum *
pycocotools *
torch >=2.7.0,<2.14
torchvision >=0.22.1,<=0.28.0
transformers *
zstd *

examples/onnx/weights_only_quantization/int8_qdq/llama2/requirements.txt pypi

Pillow *
Ultralytics *
datasets *
huggingface-hub *
onnx >=1.21.0,<=1.22.0
onnxruntime >=1.22.2,<=1.28.0
onnxruntime-genai ==0.4.0
onnxruntime_extensions >=0.4.2
onnxscript *
opencv-python *
optimum *
pycocotools *
torch >=2.7.0,<2.14
torchvision >=0.22.1,<=0.28.0
transformers *
zstd *

examples/torch/vision/detection/yolo-nas/requirements.txt pypi

super-gradients ==3.7.1

examples/torch/extensions/brevitas/requirements.txt pypi

transformers *

tutorials/onnx/auto_search/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

tutorials/onnx/crypto_mode/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

examples/torch/diffusers/requirements.txt pypi

DistVAE *
accelerate *
diffusers *
huggingface-hub *
open-clip-torch ==2.7.0
opencv-python-headless *
scipy <1.16
sentencepiece *
xfuser *

examples/torch/extensions/brevitas/imagenet_classification/requirements.txt pypi

datasets *

examples/torch/language_modeling/llm_pruning/requirements.txt pypi

accelerate *
datasets *
evaluate *
transformers *

examples/torch/language_modeling/llm_qat/requirements.txt pypi

accelerate >=1.4.0
bitsandbytes *
datasets *
importlib_metadata *
transformers >=4.48.3,<5.16

tutorials/onnx/accuracy_improvement/gptq/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

tutorials/onnx/accuracy_improvement/smooth_quant/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

pyproject.toml pypi

tutorials/onnx/accuracy_improvement/adaround/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

tutorials/onnx/image_classification/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

examples/onnx/dynamic_quantization/opt/requirements.txt pypi

Pillow *
Ultralytics *
datasets *
huggingface-hub *
onnx >=1.21.0,<=1.22.0
onnxruntime >=1.22.2,<=1.28.0
onnxruntime-genai ==0.4.0
onnxruntime_extensions >=0.4.2
onnxscript *
opencv-python *
optimum *
pycocotools *
torch >=2.7.0,<2.14
torchvision >=0.22.1,<=0.28.0
transformers *
zstd *

examples/torch/vision/requirements.txt pypi

datasets *
torchao *

test/requirements.txt pypi

PyYAML >=6.0.3,<7 test
accelerate <1.12 test
compressed-tensors >=0.15.0,<0.19 test
dependencies ==2.0.1 test
diffusers >=0.37.0 test
gguf >=0.10.0 test
huggingface_hub * test
importlib-metadata * test
matplotlib * test
numpy >=2.1.3 test
onnx >=1.21.0,<=1.22.0 test
onnxoptimizer * test
onnxruntime_extensions >=0.4.2 test
opencv-python-headless * test
optuna * test
packaging * test
plotly * test
pulp >=3.3,<4 test
pytest >=9.0 test
pytest-cov >=6.0.0 test
python-dotenv >=1,<2 test
requests >=2.31,<3 test
safetensors >=0.6.2,<0.9 test
sympy * test
torchao * test
torchsummary * test
trl >=0.28.0,<=1.6.0 test
typing-extensions >=3.7.4 test
unfoldNd * test

examples/contrib/mince/requirements.txt pypi

lm-eval *
numpy >=1.21

examples/onnx/weights_only_quantization/int4_matmul_nbits/llama2/requirements.txt pypi

Pillow *
Ultralytics *
datasets *
huggingface-hub *
onnx >=1.21.0,<=1.22.0
onnxruntime >=1.22.2,<=1.28.0
onnxruntime-genai ==0.4.0
onnxruntime_extensions >=0.4.2
onnxscript *
opencv-python *
optimum *
pycocotools *
torch >=2.7.0,<2.14
torchvision >=0.22.1,<=0.28.0
transformers *
zstd *

examples/torch/language_modeling/llm_ptq/requirements-flash-attn.txt pypi

flash-attn *

tutorials/onnx/accuracy_improvement/bfp/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

quark/experimental/speculative_decoding/setup.py pypi

tutorials/onnx/ryzen_ai/auto_search_for_ryzen_ai/auto_search_mobilenetv2_50_custom_evaluator/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxscript *
optimum >=1.26.0
pycocotools *
safetensors *
timm *
transformers *
zstd *

tutorials/onnx/ryzen_ai/fp8_quantization/requirements.txt pypi

Pillow *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
ml_dtypes *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
safetensors *
transformers *

setup.py pypi

tutorials/onnx/accuracy_improvement/mixed_precision/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

tutorials/onnx/huggingface_timm/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

tutorials/onnx/ryzen_ai/auto_search_for_ryzen_ai/auto_search_yolov8/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxscript *
optimum >=1.26.0
pycocotools *
safetensors *
transformers *
zstd *

tutorials/onnx/ryzen_ai/resnet50/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

examples/contrib/llm_eval/requirements.txt pypi

accelerate *
datasets *
evaluate *
immutabledict *
langdetect *
lm-eval >=0.4.10,<0.4.12
nltk >=3.9.4
numpy *
onnx *
onnx_ir *
onnxruntime *
onnxruntime_extensions *
onnxruntime_genai >=0.6.0,<0.16
optimum *
py7zr *
rouge_score *
transformers *

examples/torch/language_modeling/llm_ptq/requirements.txt pypi

accelerate *
addict *
compressed-tensors >=0.15.0
datasets *
easydict *
einops *
evaluate >=0.4.0
gguf >=0.10.0
lm-eval *
matplotlib *
nltk *
pillow *
psutil *
tiktoken *
transformers <5.16
transformers_stream_generator *
zstandard *

tutorials/onnx/ryzen_ai/auto_search_for_ryzen_ai/auto_search_resnet50/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxscript *
optimum >=1.26.0
pycocotools *
safetensors *
transformers *
zstd *

examples/torch/extensions/pytorch_light/requirements.txt pypi

datasets *
transformers *

examples/onnx/language_models/opt/requirements.txt pypi

Pillow *
Ultralytics *
datasets *
huggingface-hub *
onnx >=1.21.0,<=1.22.0
onnxruntime >=1.22.2,<=1.28.0
onnxruntime-genai ==0.4.0
onnxruntime_extensions >=0.4.2
onnxscript *
opencv-python *
optimum *
pycocotools *
torch >=2.7.0,<2.11
torchvision >=0.22.1,<=0.23.0
transformers *
zstd *

examples/torch/language_modeling/rotation/requirements.txt pypi

lm-eval *
tensorboard *
transformers *

tutorials/torch/diffusion_tutorial/requirements.txt pypi

diffusers ==0.34.0

tutorials/onnx/accuracy_improvement/layerwise/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

tutorials/onnx/shapeshifter/requirements.txt pypi

Pillow *
accelerate *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxruntime *
onnxslim *
timm *
transformers *

tutorials/requirements.txt pypi

accelerate *
diffusers ==0.34.0
gguf ==0.17.1
huggingface_hub *
matplotlib *
nbstripout *
netron *
notebook *
safetensors *
transformers *

examples/onnx/accuracy_improvement/utils/requirements.txt pypi

Pillow *
Ultralytics *
datasets *
huggingface-hub *
onnx >=1.21.0,<=1.22.0
onnxruntime >=1.22.2,<=1.28.0
onnxruntime-genai ==0.4.0
onnxruntime_extensions >=0.4.2
onnxscript *
opencv-python *
optimum *
pycocotools *
timm *
torch >=2.7.0,<2.14
torchvision >=0.22.1,<=0.28.0
transformers *
zstd *

tutorials/onnx/accuracy_improvement/MX/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

tutorials/onnx/accuracy_improvement/adaquant/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

tutorials/onnx/ryzen_ai/yolov8/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
transformers *
zstd *

tutorials/torch/vision/detection/yolo-x_tiny/requirements.txt pypi

opencv-python *
pycocotools *
torchao <0.16.0

examples/torch/language_modeling/llm_ptq/deepseek_v4/nvfp4/requirements.txt pypi

triton ==3.5.1

docs/source/sphinx/requirements.in pypi

cryptography >=48.0.1
myst-nb *
nbconvert *
pypandoc *
requests *
rocm-docs-core ==1.21.1
sphinx-autoapi ==3.6.0

docs/source/sphinx/requirements.txt pypi

103 dependencies

requirements.txt pypi

evaluate *
joblib *
ninja *
numpy >=2.0
onnx >=1.21.0,<=1.22.0
onnxscript *
onnxslim >=0.1.84
pandas *
plotly *
protobuf *
psutil *
pydantic *
rich *
scipy *
sentencepiece *
tqdm *
zstandard *

tutorials/onnx/accuracy_improvement/cle/requirements.txt pypi

Pillow *
Ultralytics *
accelerate *
datasets *
huggingface-hub *
ipywidgets *
jupyter *
nbstripout *
netron *
notebook *
onnx >=1.21.0,<=1.22.0
onnxconverter-common ==1.15.0
onnxruntime *
onnxruntime-genai *
onnxscript *
optimum *
pycocotools *
safetensors *
timm *
transformers *
zstd *

examples/torch/language_modeling/llm_qad/requirements.txt pypi

accelerate *
datasets *
lm-eval >=0.4
peft *
transformers <5.16

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