The BOREA model is an advanced text generation AI based on phi-3.5-mini-Instruct, achieving improved performance, especially in processing Japanese language input. This guide will help you understand how to implement the BOREA model effectively.

Setting Up the Model

To kick off your journey with the BOREA model, you will first need to set up your environment. Here are the steps you need to follow:

• Install the required packages. Run the following commands in your terminal:

bash
pip install flash_attn==2.5.8
pip install accelerate==0.31.0
pip install transformers==4.43.0
pip install -U trl
pip install pytest

Once you have installed the necessary libraries, you are ready to load the model.

Loading the Model Locally

Think of loading the model like inviting a talented chef into your kitchen. You need to prepare your space (install packages) and then call the chef (load the model) to make delicious meals (generate text).

python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

torch.random.manual_seed(0)

model = AutoModelForCausalLM.from_pretrained(
    "HODACHIBorea-Phi-3.5-mini-Instruct-Jp",
    device_map="cuda",
    torch_dtype="auto",
    trust_remote_code=True,
)

tokenizer = AutoTokenizer.from_pretrained("HODACHIBorea-Phi-3.5-mini-Instruct-Jp")

messages = [
    {
        "role": "system",
        "content": "あなたは日本語能力が高い高度なAIです。特別な指示がない限り日本語で返答してください。"
    },
    {
        "role": "user",
        "content": "「生き物デザイナー」という職業があります。これは、自分が考えたオリジナルの生き物をデザインし、実際にDNAを編集して作り出す仕事です。あなたが生き物デザイナーである場合、どんな生き物を作りたいですか？また、その生き物が持つ特徴や能力について説明してください。"
    },
]

pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
)

generation_args = {
    "max_new_tokens": 1024,
    "return_full_text": False,
    "temperature": 0.0,
    "do_sample": False,
}

output = pipe(messages, **generation_args)
print(output[0]["generated_text"])

Chosen Creature Example

Using the above setup, you can now generate text based on your prompts. For instance, you can prompt the model to describe a fictional creature that a “Creature Designer” might create. The model can provide insights into the features and abilities of such creatures, enriching your creative process.

Troubleshooting Tips

If you encounter issues while setting up or using the model, here are some troubleshooting steps:

• Ensure all required packages are installed correctly. Sometimes, missing dependencies can lead to import errors.
• Check if you have a compatible environment. Ensure your Python version and CUDA are properly configured for optimum performance.
• If you have questions or need collaboration, feel free to reach out to others in the community or consult additional resources.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

With the BOREA model, you have a powerful tool to explore text generation in a variety of languages, especially Japanese. By following this guide, you can unleash your creativity and create engaging and nuanced narratives. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.