Update README.md

README.md

@@ -38,7 +38,7 @@ It was evaluated on a several tasks to assess the its quality in comparison to t
 ### Model Optimizations
 
 This model was obtained by quantizing the weights and activations of [Meta-Llama-3.3-70B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.3-70B-Instruct) to FP4 data type, ready for inference with vLLM>=0.9.1
-This optimization reduces the number of bits per parameter from 16 to 4, reducing the disk size and GPU memory requirements by approximately 25%.
+This optimization reduces the number of bits per parameter from 16 to 4, reducing the disk size and GPU memory requirements by approximately 75%.
 
 Only the weights and activations of the linear operators within transformers blocks are quantized using [LLM Compressor](https://github.com/vllm-project/llm-compressor).