Update README.md

README.md

@@ -24,7 +24,7 @@ For more information, please read our [blog post](https://bfl.ai/blog/flux2-klei
 
 This model is a quantized version optimized for efficient inference:
 
-- **Transformer**: Quantized using TorchAo fp8  (float8wo) quantization, significantly reducing model size while maintaining generation quality.
+- **Transformer**: Quantized using TorchAo int8  (int8wo) quantization, significantly reducing model size while maintaining generation quality.
 - **Text Encoder**: Replaced with `unsloth/Qwen3-4B-unsloth-bnb-4bit`, a 4-bit quantized version that further reduces memory requirements.
 - **Memory Usage**: Peak VRAM consumption is approximately **9GB**.
 - **Performance**: Generates images in approximately **0.1 seconds** (4 steps)on RTX 5090 GPUs.