Update README.md

README.md

@@ -1,22 +1,48 @@
 ---
 base_model: unsloth/llama-3.3-70b-instruct-bnb-4bit
 tags:
-- text-generation-inference
+- reasoning
+- text-generation
+- fine-tuning
 - transformers
-- unsloth
 - llama
-- trl
+- instruction-tuning
 license: apache-2.0
 language:
 - en
 ---
+![image](./image.webp)
+# Model Card: CogniLink - A SOTA Reasoning Model
 
-# Uploaded  model
+## Overview
+**CogniLink** is a cutting-edge reasoning and chain-of-thought model designed to excel in complex logical problem-solving and multi-step reasoning workflows. Built on the robust LLaMA 3.3 70B foundation, CogniLink offers unparalleled accuracy and efficiency for real-time applications across education, research, legal analysis, and decision support systems.
 
-- **Developed by:** Daemontatox
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.3-70b-instruct-bnb-4bit
+### Key Features
+- **Base Model:** [unsloth/llama-3.3-70b-instruct-bnb-4bit](https://huggingface.co/unsloth/llama-3.3-70b-instruct-bnb-4bit)
+- **Fine-Tuned By:** Daemontatox
+- **License:** Apache 2.0 (open for use and modification)
+- **Language:** English
+- **Specialization:** Complex reasoning, chain-of-thought generation, multi-domain inference.
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+### Training and Optimization
+CogniLink leverages the advanced capabilities of [Unsloth](https://github.com/unslothai/unsloth) for accelerated training, achieving **2x faster fine-tuning**. It utilizes the Hugging Face TRL library to support instruction-tuned tasks, ensuring versatility in various reasoning challenges. 
+
+### Model Capabilities
+- Seamless integration into reasoning-intensive applications.
+- Optimized for **low-latency deployment** on inference frameworks.
+- Compatible with quantized environments, making it ideal for edge computing solutions.
 
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+
+## Applications
+CogniLink can be deployed in:
+1. **Educational Platforms:** For step-by-step problem-solving and interactive learning tools.
+2. **Research and Academia:** Assisting in data analysis and hypothesis validation.
+3. **Business Decision Support:** Real-time scenario analysis and risk assessment.
+4. **Legal and Policy Analysis:** Multi-step reasoning for case studies and regulatory interpretations.
+5. **Healthcare AI:** Supporting diagnostic workflows with logical reasoning.
+
+### Community and Contribution
+The CogniLink model was developed with a commitment to open-source collaboration. Contributions are welcomed on its official repository. For inquiries or support, visit [Unsloth GitHub](https://github.com/unslothai/unsloth).
+
+**Empowering reasoning for a smarter future!**