Update README.md

README.md

@@ -22,7 +22,7 @@ pipeline_tag: text-generation
 </div>
 
 <p align="center">
-    <a href="https://huggingface.co/wwwywcom/Selling-Assistant-V1">
+    <a href="https://huggingface.co/digitalassistant-ai/Selling-Assistant-V1">
         <img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Selling--Assistant--V1-blue">
     </a>
     <a href="https://github.com/your-repo-link">
@@ -43,8 +43,7 @@ It internalizes complex sales logic—from rapport building to closing deals—d
 
 We evaluate Selling-Assistant-V1 against leading general-purpose models on a proprietary **Sales Capability Benchmark**, which assesses performance across four critical dimensions: **Persuasion Rate**, **Empathy Score**, **Objection Handling**, and **Compliance**.
 
-| Benchmark (Sales Domain) | Selling-Assistant-V1 | Qwen3-30B-A3B | 
-Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT |
+| Benchmark (Sales Domain) | Selling-Assistant-V1 | Qwen3-30B-A3B | Llama3.2-30B-A3B-II-Dark-Champion-INSTRUCT |
 |--------------------------|----------------------|----------------------|----------------------|
 | **Persuasion Rate**      | **85.4%**            | 72.1%                | 78.5%                |
 | **Empathy Score (0-10)** | **9.2**              | 7.8                  | 8.1                  |
@@ -96,7 +95,7 @@ pip install -U vllm
 Start the server:
 
 ```shell
-vllm serve wwwywcom/Selling-Assistant-V1 \
+vllm serve digitalassistant-ai/Selling-Assistant-V1 \
      --tensor-parallel-size 1 \
      --gpu-memory-utilization 0.95 \
      --max-model-len 32768 \
@@ -115,7 +114,7 @@ Launch the server:
 
 ```shell
 python3 -m sglang.launch_server \
-  --model-path wwwywcom/Selling-Assistant-V1 \
+  --model-path digitalassistant-ai/Selling-Assistant-V1 \
   --tp-size 1 \
   --port 8000 \
   --host 0.0.0.0 \
@@ -172,7 +171,7 @@ print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))
 While V1 focuses on end-to-end generation, our next-generation **Selling-Agent-V2** will evolve into a fully autonomous system leveraging the **Model Context Protocol (MCP)**. This architecture separates cognitive reasoning from tool execution, enabling deeper integration with enterprise ecosystems.
 
 <div align="center">
-  <img src="selling_agent.png" width="90%" alt="Future Sales Agent Architecture"/>
+  <img src="selling_agent.png" width="100%" alt="Future Sales Agent Architecture"/>
 </div>
 
 ### Architectural Highlights
@@ -205,6 +204,6 @@ If you use this model in your research or application, please cite:
   year = {2024},
   publisher = {Hugging Face},
   journal = {Hugging Face Repository},
-  howpublished = {\url{https://huggingface.co/wwwywcom/Selling-Assistant-V1}}
+  howpublished = {\url{https://huggingface.co/digitalassistant-ai/Selling-Assistant-V1}}
 }
 ```