Update README.md

README.md

@@ -50,7 +50,7 @@ pip install transformers torch
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-model_name = "your_username/large-social-behavior-model"  
+model_name = "CommerAI/large-social-behavior-model"  
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
 ```
@@ -72,7 +72,7 @@ print(predicted_behavior)
 ## Evaluation
 
 Large-social-behavior-model was tested on [e.g., a subset of the CBC or a custom dataset—specify your evaluation setup]. Preliminary results show:
-- **Behavior Simulation:** Achieved [X% accuracy or RMSE—insert your metric] in predicting engagement metrics, outperforming vanilla Llama 3.2 by [Y%—insert comparison if available].
+- **Behavior Simulation:** .
 - **Behavior Understanding:** Successfully interpreted behavioral drivers with [e.g., 70% alignment to human annotations—add your result].
 - **Comparison:** Outshines baselines like [e.g., GPT-3.5 or Vicuna-13B—specify] on behavior-related tasks, while retaining strong content understanding.
 
@@ -84,7 +84,7 @@ Large-social-behavior-model was tested on [e.g., a subset of the CBC or a custom
 
 - Khandelwal, Ashmit, et al. "Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior." *ICLR 2024*. [arXiv:2309.00359](https://arxiv.org/abs/2309.00359)
 - Meta AI. "Llama 3.2 Model Card." [Official Link TBD]
-- Liu, Haotian, et al. "Visual Instruction Tuning." *arXiv preprint arXiv:2304.08485* (2023). [Link](https://arxiv.org/abs/2304.08485) *(If used for multimodal aspects)*
+- Liu, Haotian, et al. "Visual Instruction Tuning." *arXiv preprint arXiv:2304.08485* (2023). [Link](https://arxiv.org/abs/2304.08485) 
 
 ---
 
@@ -109,7 +109,7 @@ Questions? Suggestions? Reach out at [hello@astadeus.com
 ---
 
 ### Final Notes
-- **Customization:** CommerAI/large-social-behavior-model (e.g., `CommerAI/large-social-behavior-model`, dataset specifics, evaluation results) with your actual details to make it authentic.
+- **Customization:** CommerAI/large-social-behavior-model.
 - **Engagement:** The title and highlights are designed to grab attention, while the usage guide ensures accessibility. The references and contribution call add credibility and community appeal.
 - **Scalability:** If you later extend the model (e.g., to 8B parameters or more modalities), this structure scales easily with minor updates.