---
base_model: unsloth/deepseek-r1-distill-qwen-7b-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
license: apache-2.0
language:
- en
---

# MaWared HR Reasoning Model

## Model Details

- **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! 🚀
```