Update README.md

README.md

@@ -11,12 +11,62 @@ language:
 - en
 ---
 
-# Uploaded  model
+# MaWared HR Reasoning Model
 
-- **Developed by:** Daemontatox
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit
+## Model Details
 
-This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+- **Base Model:** [unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit](https://huggingface.co/unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit)
+- **Finetuned by:** Daemontatox
+- **License:** Apache-2.0
+- **Language:** English
+- **Tags:** text-generation-inference, transformers, unsloth, qwen2, trl
+
+## Overview
+
+This model is a finetuned version of the `deepseek-r1-distill-qwen-7b` model, optimized for MaWared HR reasoning. It was trained using [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library, enabling 2x faster training performance.
+
+## Features
+
+- **HR Query Reasoning:** Provides logical and well-structured responses to complex HR-related inquiries.
+- **Decision Support:** Assists HR professionals in making informed decisions based on policies and regulations.
+- **Enhanced Performance:** Optimized for deep reasoning and contextual understanding in HR-related scenarios.
+
+## Installation
+
+To use this model, install the required dependencies:
+
+```bash
+pip install torch transformers accelerate unsloth
+
+```
+
+## Usage
+You can load and use the model with the following Python snippet:
+```
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model_name = "Daemontatox/mawared-hr-reasoning"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16, device_map="auto")
+
+input_text = "How should I handle a conflict between employees?"
+inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
+output = model.generate(**inputs, max_length=100)
+response = tokenizer.decode(output[0], skip_special_tokens=True)
+print(response)
+```
+
+
+## Acknowledgments
+This model was developed using Unsloth and Hugging Face's TRL library. Special thanks to the open-source community for their contributions.
+
+License
+This model is licensed under the Apache-2.0 license.
+
+vbnet
+```
+
+Let me know if you need any modifications! 🚀
+```
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)