Update README.md

README.md

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 This model was converted to GGUF format from [`prithivMLmods/Llama-Sentient-3.2-3B-Instruct`](https://huggingface.co/prithivMLmods/Llama-Sentient-3.2-3B-Instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/prithivMLmods/Llama-Sentient-3.2-3B-Instruct) for more details on the model.
 
+---
+Model details:
+-
+The Llama-Sentient-3.2-3B-Instruct model is a fine-tuned version of the Llama-3.2-3B-Instruct model, optimized for text generation tasks, particularly where instruction-following abilities are critical. This model is trained on the mlabonne/lmsys-arena-human-preference-55k-sharegpt
+ dataset, which enhances its performance in conversational and advisory 
+contexts, making it suitable for a wide range of applications.
+Key Use Cases:
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+
+
+
+Conversational AI: Engage in intelligent dialogue, 
+offering coherent responses and following instructions, useful for 
+customer support and virtual assistants.
+Text Generation: Generate high-quality, 
+contextually appropriate content such as articles, summaries, 
+explanations, and other forms of written communication based on user 
+prompts.
+Instruction Following: Follow specific instructions
+ with accuracy, making it ideal for tasks that require structured 
+guidance, such as technical troubleshooting or educational assistance.
+
+
+The model uses a PyTorch-based architecture and includes a range of necessary files such as configuration files, tokenizer files, and model weight files for deployment.
+
+
+
+	
+		
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+
+		Intended Applications:
+	
+
+
+
+Chatbots for virtual assistance, customer support, or as personal digital assistants.
+Content Creation Tools, aiding in the generation of written materials, blog posts, or automated responses based on user inputs.
+Educational and Training Systems, providing explanations and guided learning experiences in various domains.
+Human-AI Interaction platforms, where the model can follow user instructions to provide personalized assistance or perform specific tasks.
+
+
+With its strong foundation in instruction-following and conversational contexts, the Llama-Sentient-3.2-3B-Instruct model offers versatile applications for both general and specialized domains.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)