Update README.md

README.md

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 license: apache-2.0
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-I have Finetuned the model Using Houdini Vex Functions.
+Below is a sample README file for the repository. You can adjust the sections as needed:
+
+---
+
+# Qwen2.5-Coder-14B Houdini Vex Functions
+
+This repository hosts a fine-tuned version of the **Qwen2.5-Coder-14B** model, optimized specifically for generating Houdini VEX functions. The model has been fine-tuned using Houdini VEX Functions data and is designed to assist developers and technical artists working in Houdini.
+
+## Model Details
+
+- **Base Model:** Qwen2.5-Coder-14B
+- **Fine-Tuning:** Finetuned using Houdini VEX Functions data
+- **Architecture:** qwen2
+- **Model Size:** 14.8B parameters
+- **Quantization:** 8-bit (Q8_0)
+- **License:** [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)
+
+## Features
+
+- **Houdini VEX Expertise:** Specially adapted to generate Houdini VEX code.
+- **Procedural Workflow:** Ideal for creating procedural geometry, effects, and other Houdini-specific functions.
+- **Efficient Performance:** Utilizes 8-bit quantization for faster inference while maintaining quality.
+
+## Installation
+
+To use this model, ensure you have the required dependencies installed. You can install the necessary Python packages using pip:
+
+```bash
+pip install transformers torch
+```
+
+Then, load the model in your Python script as follows:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+model_name = "pahaadi/Qwen2.5-Coder-14B-houdini_vex_functions"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
+
+# Example usage: Generate Houdini VEX code
+prompt = "Write a Houdini VEX function that creates procedural geometry."
+inputs = tokenizer(prompt, return_tensors="pt")
+outputs = model.generate(**inputs, max_length=256)
+generated_code = tokenizer.decode(outputs[0], skip_special_tokens=True)
+print(generated_code)
+```
+
+## Usage
+
+This model is tailored for tasks such as:
+- Generating Houdini VEX functions.
+- Assisting with procedural generation tasks in Houdini.
+- Accelerating coding workflows in Houdini-based projects.
+
+Feel free to integrate the model into your Houdini pipeline to enhance your creative coding process.
+
+## Fine-Tuning and Contributions
+
+If you are interested in further fine-tuning this model or adapting it for other Houdini-related tasks, contributions and suggestions are welcome. Please follow the guidelines provided in the [Hugging Face documentation](https://huggingface.co/docs) for model fine-tuning and deployment.
+
+## License
+
+This model is released under the [Apache-2.0 License](https://www.apache.org/licenses/LICENSE-2.0).
+
+## Citation
+
+If you use this model in your research or projects, please consider citing it as follows:
+
+```bibtex
+@misc{pahaadi2025qwen2.5,
+  author = {pahaadi},
+  title = {Qwen2.5-Coder-14B Houdini Vex Functions},
+  year = {2025},
+  publisher = {Hugging Face},
+  url = {https://huggingface.co/pahaadi/Qwen2.5-Coder-14B-houdini_vex_functions}
+}
+```
+
+## Acknowledgments
+
+Special thanks to the contributors and the Hugging Face community for their continuous support and for providing an open platform for sharing and developing innovative machine learning models.
+
+---
+
+This README provides an overview of the model, usage instructions, and additional details that help users understand and integrate the model into their projects.