Update README.md

README.md

@@ -6,7 +6,7 @@ license: cc-by-nc-4.0
 
 ---
 ## 📝 Description
-Mobile-VideoGPT is an efficient multimodal framework designed to operate with fewer than a billion parameters. Unlike traditional video large multimodal models, Mobile-VideoGPT consists of lightweight dual visual encoders, efficient projectors, and a small language model (SLM), enabling real-time inference on resource-constrained platforms. We evaluate our model across well-established six video understanding benchmarks (e.g., MVBench, EgoSchema, NextQA, and PerceptionTest), and our results show that Mobile-VideoGPT-0.5B can generate up to 46 tokens per second while outperforming existing state-of-the-art 0.5B-parameter competitors.
+Mobile-VideoGPT is an efficient multimodal framework designed to operate with fewer than a billion parameters. Unlike traditional video large multimodal models, Mobile-VideoGPT consists of lightweight dual visual encoders, efficient projectors, and a small language model (SLM) with real-time throughput. We evaluate our model across well-established six video understanding benchmarks (e.g., MVBench, EgoSchema, NextQA, and PerceptionTest), and our results show that Mobile-VideoGPT-0.5B can generate up to 46 tokens per second while outperforming existing state-of-the-art 0.5B-parameter competitors.
 
 **This model contains Mobile-VideoGPT checkpoints with Qwen-2.5-0.5B LLM**
 
@@ -14,7 +14,7 @@ Mobile-VideoGPT is an efficient multimodal framework designed to operate with fe
 To get started, follow these steps:
    ```
    git lfs install
-   git clone https://huggingface.co/Abdelrahman-shaker/Mobile-VideoGPT-0.5B
+   git clone https://huggingface.co/Amshaker/Mobile-VideoGPT-0.5B
    ```
 
 ## 📚 Additional Resources