Update README.md

README.md

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 ---
 base_model: ibm-granite/granite-3.1-8b-instruct
 tags:
-- text-generation-inference
+- text-generation
 - transformers
-- unsloth
+- safetensors
+- english
 - granite
+- text-generation-inference
+- ruslanmv
 - trl
 - grpo
+- conversational
+- inference-endpoints
 license: apache-2.0
 language:
 - en
 ---
 
-# Uploaded  model
+# Granite-3.1-8B-Reasoning (Fine-Tuned for Advanced Reasoning)
+
+## Model Overview
+
+This model is a **fine-tuned version** of **ibm-granite/granite-3.1-8b-instruct**, optimized for **logical reasoning and analytical tasks**. Fine-tuning has been performed to **enhance structured problem-solving, long-context comprehension, and instruction-following capabilities**.
+
+- **Developed by:** [ruslanmv](https://huggingface.co/ruslanmv)  
+- **License:** Apache 2.0  
+- **Base Model:** [ibm-granite/granite-3.1-8b-instruct](https://huggingface.co/ibm-granite/granite-3.1-8b-instruct)  
+- **Fine-tuned for:** Logical reasoning, structured problem-solving, and long-context tasks  
+- **Training Framework:** **Unsloth & Hugging Face TRL** (2x faster training)  
+- **Supported Languages:** English  
+- **Model Size:** **8.17B params**  
+- **Tensor Type:** **BF16**  
+
+---
+
+## Why Use This Model?
+
+This **fine-tuned model** improves upon the base **Granite-3.1-8B** model by enhancing its **reasoning capabilities** while retaining its general text-generation abilities.
+
+✅ **Optimized for complex reasoning tasks**  
+✅ **Enhanced long-context understanding**  
+✅ **Improved instruction-following abilities**  
+✅ **Fine-tuned for structured analytical thinking**  
+
+---
+
+## Installation & Usage  
+
+Install the required dependencies:  
+
+```bash
+pip install torch torchvision torchaudio
+pip install accelerate
+pip install transformers
+```
+
+### Running the Model  
+
+Use the following Python snippet to load and generate text with **Granite-3.1-8B-Reasoning**:  
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = "auto"
+model_path = "ruslanmv/granite-3.1-8b-Reasoning"
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(model_path, device_map=device)
+model.eval()
+
+input_text = "Can you explain the difference between inductive and deductive reasoning?"
+input_tokens = tokenizer(input_text, return_tensors="pt").to(device)
+
+output = model.generate(**input_tokens, max_length=4000)
+output_text = tokenizer.batch_decode(output)
+
+print(output_text)
+```
+
+---
+
+## Intended Use  
+
+Granite-3.1-8B-Reasoning is designed for **tasks requiring structured and logical reasoning**, including:  
+
+- **Logical and analytical problem-solving**  
+- **Text-based reasoning tasks**  
+- **Mathematical and symbolic reasoning**  
+- **Advanced instruction-following**  
+- **Conversational AI with a focus on structured responses**  
+
+This model is particularly useful for **enterprise AI applications, research, and large-scale NLP tasks**.
+
+---
+
+## License & Acknowledgments  
+
+This model is released under the **Apache 2.0** license. It is fine-tuned from IBM’s **Granite 3.1-8B-Instruct** model. Special thanks to the **IBM Granite Team** for developing the base model.  
+
+For more details, visit the [IBM Granite Documentation](https://huggingface.co/ibm-granite).  
+
+---
+
+### Citation  
 
-- **Developed by:** ruslanmv
-- **License:** apache-2.0
-- **Finetuned from model :** ibm-granite/granite-3.1-8b-instruct
+If you use this model in your research or applications, please cite:  
 
-This granite model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+```
+@misc{ruslanmv2025granite,
+  title={Fine-Tuning Granite-3.1-8B for Advanced Reasoning},
+  author={Ruslan M.V.},
+  year={2025},
+  url={https://huggingface.co/ruslanmv/granite-3.1-8b-Reasoning}
+}
+```
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)