[ICML 2026] GRACE-VLM: deployable INT4 Qwen3-VL via quantization-aware distillation.
Deploy a smaller, efficient version of a vision-language model for various applications.
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Free · no card · unsubscribe anytime[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.
[ICML 2026] GRACE-VLM: deployable INT4 Qwen3-VL via quantization-aware distillation.
GRACE is an open-source project. It is released under the Apache-2.0 license.
Yes. GRACE is free and open source — you can use, modify and self-host it.
GRACE is available under the Apache-2.0 license.
GRACE is written mainly in Jupyter Notebook.
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