Update README.md

README.md

@@ -1,4 +1,19 @@
 ---
+tags:
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- mlx
+- mlx
+- reasoning
+- llama
+- deepseek
+- ollama
+- chain-of-thoughts
+- small-llm
+- edge
 base_model: mlx-community/Llama-3.2-3B-Instruct
 language:
 - en
@@ -12,14 +27,6 @@ language:
 library_name: transformers
 license: llama3.2
 pipeline_tag: text-generation
-tags:
-- facebook
-- meta
-- pytorch
-- llama
-- llama-3
-- mlx
-- mlx
 extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
   \ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
   \ for use, reproduction, distribution  and modification of the Llama Materials set\
@@ -207,31 +214,46 @@ extra_gated_description: The information you provide will be collected, stored,
   and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
 extra_gated_button_content: Submit
 ---
+# ReasonableLlama-3B: A Fine-Tuned Reasoning Model
+
+HF: https://huggingface.co/adeelahmad/ReasonableLlama3-3B-Jr
+Ollama: https://ollama.com/adeelahmad/ReasonableLLAMA-Jr-3b
+
 
-# adeelahmad/ReasonableLlama3-3B-Jr
+Welcome to **ReasonableLlama-3B**, a cutting-edge reasoning model built on the foundation of LLaMA-3B. This model has been carefully fine-tuned to enhance its capabilities in logical
+thinking, problem-solving, and creative analysis.
 
-The Model [adeelahmad/ReasonableLlama3-3B-Jr](https://huggingface.co/adeelahmad/ReasonableLlama3-3B-Jr) was
-converted to MLX format from [mlx-community/Llama-3.2-3B-Instruct](https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct)
-using mlx-lm version **0.21.4**.
+## Overview
+- **Model Name**: ReasonableLlama-3B
+- **Base Architecture**: LLaMA-3B (Large Language Model with 3B parameters)
+- **Purpose**: Designed for tasks requiring advanced reasoning, problem-solving, and creative thinking
 
-## Use with mlx
+## Features
+- **Advanced Reasoning**: Excels in logical analysis, problem-solving, and decision-making.
+- **Creative Thinking**: Generates innovative solutions and ideas.
+- **Curriculum-Based Fine-Tuning**: Trained on high-quality datasets to enhance reasoning abilities.
 
-```bash
-pip install mlx-lm
-```
+## Technical Details
+- **Parameter Count**: 3B parameters
+- **Training Process**: Fine-tuned using state-of-the-art techniques for reasoning tasks
+- **Specialization**: Optimized for specific reasoning workflows and scenarios
 
-```python
-from mlx_lm import load, generate
+## Use Cases
+- **Research**: Facilitates complex problem-solving and theoretical analysis.
+- **Education**: Assists in creating educational examples and problem sets.
+- **Problem Solving**: Helps generate innovative solutions across various domains.
 
-model, tokenizer = load("adeelahmad/ReasonableLlama3-3B-Jr")
+## Installation and Usage
+- **Integration**: Can be integrated into existing systems via APIs or local setup.
+- **Inputs**: Supports text and images, leveraging Ollama's versatile capabilities.
 
-prompt = "hello"
+## Limitations
+- **Scope**: Limited to single-step reasoning; multi-hop reasoning is a current focus area.
+- **Data Bias**: Caution with dataset provenance as it may reflect historical biases.
 
-if tokenizer.chat_template is not None:
-    messages = [{"role": "user", "content": prompt}]
-    prompt = tokenizer.apply_chat_template(
-        messages, add_generation_prompt=True
-    )
+## Contributing
+Contributions welcome! Fork the project, submit issues, and pull requests on GitHub. Your insights can help shape future improvements.
 
-response = generate(model, tokenizer, prompt=prompt, verbose=True)
-```
+## Citations
+- Special thanks to LLaMA's developers for providing a strong foundation.
+- Acknowledgments to the community contributing to open-source AI advancements.