---
title: GRACE-VLM
emoji: 🦢
colorFrom: blue
colorTo: purple
sdk: static
app_file: index.html
pinned: true
short_description: Deployable INT4 Qwen3-VL through GRACE distillation.
models:
  - ForeverBlue/Qwen3-VL-2B-GRACE-W4G128-AWQ
  - ForeverBlue/Qwen3-VL-2B-GRACE-BF16
tags:
  - vision-language-model
  - multimodal
  - int4
  - awq
  - knowledge-distillation
  - arxiv:2601.22709
---

# GRACE-VLM

Project showcase for **GRACE-VLM: INT4 Quantization-Aware Distillation for
Vision-Language Models**, accepted at ICML 2026. Read the paper at
[arXiv:2601.22709](https://arxiv.org/abs/2601.22709).

This free static Space presents the benchmark results, a model output, and the
copy-ready real INT4 deployment command. Interactive inference requires hosted
GPU hardware; the model and loader remain fully available for local deployment.