Fix README.md

README.md

@@ -9,7 +9,7 @@ library_name: transformers
 
 ## Model Overview
 
-This model was obtained by quantizing the weights of [deepseek-ai/DeepSeek-R1](https://huggingface.co/deepseek-ai/DeepSeek-R1) to INT4 data type. This optimization reduces the number of bits per parameter from 8 to 4, reducing the disk size and GPU memory requirements by approximately 50%.
+This model was obtained by quantizing the weights of [deepseek-ai/DeepSeek-V3-0324](https://huggingface.co/deepseek-ai/DeepSeek-V3-0324) to INT4 data type. This optimization reduces the number of bits per parameter from 8 to 4, reducing the disk size and GPU memory requirements by approximately 50%.
 
 Only non-shared experts within transformer blocks are compressed. Weights are quantized using a symmetric per-group scheme, with group size 128. The GPTQ algorithm is applied for quantization.