Update README.md

README.md

@@ -11,12 +11,46 @@ language:
 - en
 ---
 
-# Uploaded  model
+# Uploaded  model - AlphaAI-Reason-V0
 
-- **Developed by:** alphaaico
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit
+**Model Overview**
 
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+"AlphaAI-Reason-V0" is a language model fine-tuned over LLaMA 3-3B-Instruct, designed to handle complex reasoning tasks such as logical problem-solving, mathematical analysis, and structured explanations. The model has been trained on a diverse dataset of multi-turn conversations focused on in-depth reasoning, making it highly effective for tasks requiring step-by-step thought processes.
+
+**Key Features**
+
+- Advanced Reasoning: Trained to provide structured and coherent responses, breaking down complex problems into logical steps.
+
+- Chain-of-Thought Processing: The model may generate <think> tokens to illustrate its intermediate reasoning, making its thought process transparent.
+
+- Mathematical and Logical Proficiency: Capable of handling problems in formal logic, mathematics, and structured argumentation.
+
+- Context-Aware Problem Solving: Processes multi-turn interactions to build upon previous exchanges and provide well-informed answers.
+
+- Versatile Applications: Suitable for domains requiring deep analytical capabilities, including research, academic support, and decision-making workflows.
+
+
+**Usage Considerations**
+
+When deploying AlphaAI-Reason-V0-GGUF, note that responses may contain <think> tokens, which serve as markers for the model's internal reasoning steps. If using the model in custom applications, these tokens may need to be preprocessed or filtered depending on your use case. Additionally, since the model is optimized for reasoning, responses may be more detailed compared to general-purpose language models.
+
+
+**Ethical Considerations**
+
+While AlphaAI-Reason-V0-GGUF is designed to provide accurate and well-structured reasoning, users should verify its outputs before relying on them for critical decisions. The model generates responses based on learned patterns and may sometimes exhibit biases or inaccuracies. Users should critically evaluate its outputs and apply domain-specific validation.
+
+
+**Model Availability**
+
+"AlphaAI-Reason-V0" is available in the following quantized formats:
+
+- q4_k_m
+- 
+- q5_k_m
+
+
+These quantized versions provide flexibility in deployment, balancing efficiency and accuracy based on hardware constraints and performance needs.
+
+
+"AlphaAI-Reason-V0" is designed to enhance applications requiring structured reasoning and logical processing. Explore its capabilities to integrate advanced AI-driven solutions into your workflow.
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)