Update README.md

README.md

@@ -15,19 +15,19 @@ pipeline_tag: text-to-3d
 
 # 🚀 First INT4 Quantized Cube3D - Run on Half the VRAM
 
-![](https://img.shields.io/badge/VRAM_-14.3_GB_(44%25↓)-brightgreen)
-![](https://img.shields.io/badge/Loading-88%25_Faster-blue)
+![](https://img.shields.io/badge/VRAM_-11.3_GB_(55%25↓)-brightgreen)
+![](https://img.shields.io/badge/Loading-97%25_Faster-blue)
 ![](https://img.shields.io/badge/Latency-Same-green)
 
 Presenting the **first INT4 quantized version** of [Cube3D v0.5](https://huggingface.co/Roblox/cube3d-v0.5), a text-to-3D mesh generative model. Quantized via **RTN W4A16** (group_size=128) using [torchao](https://github.com/pytorch/ao), it cuts peak VRAM from **25.4 GB → 14.3 GB (44%↓)** while maintaining the same inference speed and comparable shape fidelity - enabling 3D shape generation on much smaller, more accessible GPUs.
 
 | | BF16 + Engine | BF16 + EngineFast | **INT4 + EngineFast** |
 |---|:-:|:-:|:-:|
-| 🎮 Peak VRAM | 21.7 GB | 25.4 GB | **14.3 GB (44%↓)** ✨ |
-| 📦 Setup time | 19.4 s | 206.9 s | **25.1 s (88%↓)** |
+| 🎮 Peak VRAM | 21.7 GB | 25.4 GB | **11.3 GB (55%↓)** ✨ |
+| 📦 Setup time | 19.4 s | 206.9 s | **6.9 s (97%↓)** |
 | ⏱️ Latency | 90.9 s | 15.0 s | **14.2 s** |
 
-<mark>💡 The 44% VRAM reduction means this model now fits on a single 16 GB GPU (e.g. NVIDIA L4, A10, A2 etc.), bringing high-quality text-to-3D generation to individual researchers and end-user hardware.
+<mark>💡 The 55% VRAM reduction means this model now fits on a single 15 GB GPU (e.g. NVIDIA L4, A10, A2 etc.), bringing high-quality text-to-3D generation to individual researchers and end-user hardware.
 </mark>
 
 ### Original BF16 vs Quantized INT4 Comparisons: