README.md

---
license: mit
base_model: rd211/Qwen3-1.7B-Instruct
tags:
- qwen
- chat
- roleplay
---

# Nix3 Model Card
basicly a cat girl LLM :3
## Model Overview
Nix3 is a fine-tuned model based on the Qwen3-1.7B-Instruct architecture. It has been fine-tuned for a variety of tasks, including but not limited to, text generation and response generation. This model is part of the Hugging Face ecosystem and is licensed under the [MIT License](https://github.com/rd211/Qwen3/blob/main/LICENSE).

## Model Specifications
- **Architecture**: Qwen3-1.7B-Instruct
- **Training Data**: Fine-tuned on a diverse dataset of instruction-following tasks.
- **Output Type**: Text generation, including response generation.
- **License**: MIT License

## How to Use Nix3
To use Nix3, you can follow these simple steps:

1. **Installation**:
   You can install the Nix3 model and tokenizer using PyTorch or TensorFlow. Below are example commands for both:
   ```bash
   pip install torch
   pip install transformers
   ```
   For PyTorch:
   ```bash
   python -m pip install torch transformers
   ```
   For TensorFlow:
   ```bash
   python -m pip install tensorflow transformers
   ```

2. **Loading the Model**:
   Use the `from transformers import pipeline` method to load the model and tokenizer.
   ```python
   from transformers import pipeline

   # Load the Nix3 model and tokenizer
   nix3_generator = pipeline("text-generation", model="rd211/Qwen3-1.7B-Instruct", tokenizer="rd211/Qwen3-1.7B-Instruct", device="cuda" if torch.cuda.is_available() else "cpu")
   ```

3. **Generating Text**:
   Use the `generate` method to generate text based on the prompt you provide.
   ```python
   prompt = "The quick brown fox jumps over the lazy dog."
   output = nix3_generator(prompt, max_length=50)
   print(output)
   ```

## License
The Nix3 model and its associated codebase are licensed under the [MIT License](https://github.com/rd211/Qwen3/blob/main/LICENSE). For more information on the license and usage terms, please refer to the provided license file.

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