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Running on Zero
Running on Zero
| title: GRACE-VLM | |
| emoji: 🦢 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| python_version: "3.10" | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| pinned: true | |
| short_description: Try GRACE-VLM on an image, then deploy the INT4 build. | |
| suggested_hardware: zero-a10g | |
| startup_duration_timeout: 1h | |
| preload_from_hub: | |
| - ForeverBlue/Qwen3-VL-2B-GRACE-BF16 | |
| 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 | |
| Live demo 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). | |
| Upload an image and ask a question to run the GRACE 2B BF16 checkpoint on free | |
| ZeroGPU hardware. For genuine packed INT4 inference, use | |
| [`ForeverBlue/Qwen3-VL-2B-GRACE-W4G128-AWQ`](https://huggingface.co/ForeverBlue/Qwen3-VL-2B-GRACE-W4G128-AWQ) | |
| with the copy-ready [GRACE loader](https://github.com/ForeverBlue816/GRACE#quick-start-real-int4). | |