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.

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:

   pip install torch
   pip install transformers
   

   For PyTorch:

   python -m pip install torch transformers
   

   For TensorFlow:

   python -m pip install tensorflow transformers
   

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

   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.

   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. For more information on the license and usage terms, please refer to the provided license file.

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