Update README.md

README.md

@@ -24,6 +24,25 @@ tags:
 This model was converted to GGUF format from [`prithivMLmods/Llama-Doctor-3.2-3B-Instruct`](https://huggingface.co/prithivMLmods/Llama-Doctor-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-Doctor-3.2-3B-Instruct) for more details on the model.
 
+---
+Model details:
+-
+The Llama-Doctor-3.2-3B-Instruct model is designed for text generation tasks, particularly in contexts where instruction-following capabilities are needed. This model is a fine-tuned version of the base Llama-3.2-3B-Instruct model and is optimized for understanding and responding to user-provided instructions or prompts. The model has been trained on a specialized dataset, avaliev/chat_doctor, to enhance its performance in providing conversational or advisory responses, especially in medical or technical fields.
+Key Use Cases:
+
+    Conversational AI: Engage in dialogue, answering questions, or providing responses based on user instructions.
+    Text Generation: Generate content, summaries, explanations, or solutions to problems based on given prompts.
+    Instruction Following: Understand and execute instructions, potentially in complex or specialized domains like medical, technical, or academic fields.
+
+The model leverages a PyTorch-based architecture and comes with various files such as configuration files, tokenizer files, and special tokens maps to facilitate smooth deployment and interaction.
+Intended Applications:
+
+    Chatbots for customer support or virtual assistants.
+    Medical Consultation Tools for generating advice or answering medical queries (given its training on the chat_doctor dataset).
+    Content Creation tools, helping generate text based on specific instructions.
+    Problem-solving Assistants that offer explanations or answers to user queries, particularly in instructional contexts.
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)