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GRACE
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GRACE

[ICML 2026] GRACE-VLM: deployable INT4 Qwen3-VL via quantization-aware distillation.

by ForeverBlue816 · GitHub
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awqefficient-aiicml-2026Apache-2.0Jupyter Notebook
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Deploy a smaller, efficient version of a vision-language model for various applications.

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2026-08-172026-08-31
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[ICML 2026] GRACE-VLM: deployable INT4 Qwen3-VL via quantization-aware distillation.

GRACE has 217 stars on GitHub. It has been forked 7 times. GRACE is written mainly in Jupyter Notebook. It has been in active development since 2026. GRACE is available under the Apache-2.0 license. Its main topics are awq, efficient-ai, icml-2026, int4.

Frequently asked questions

What is GRACE?

[ICML 2026] GRACE-VLM: deployable INT4 Qwen3-VL via quantization-aware distillation.

Is GRACE open source?

GRACE is an open-source project. It is released under the Apache-2.0 license.

Is GRACE free?

Yes. GRACE is free and open source — you can use, modify and self-host it.

What license does GRACE use?

GRACE is available under the Apache-2.0 license.

What language is GRACE written in?

GRACE is written mainly in Jupyter Notebook.

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