# Yara-Focused Llama 3.1 8B

This model is a fine-tuned version of Meta's Llama 3.1 8B, specifically tailored for yara tasks.

## Model Details

- **Base model:** meta-llama/Meta-Llama-3.1-8B-instruct
- **Fine-tuning:** This model has been fine-tuned on a custom dataset of cybersecurity-related questions and answers.
- **Usage:** This model is particularly yara-focused and can generate responses to yara-related prompts.

## How to Use

To use this model:

```python
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "vtriple/Llama-3.1-8B-yara"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

# Example usage
input_text = "What is an example of a common cybersecurity threat?"
input_ids = tokenizer(input_text, return_tensors="pt").input_ids
output = model.generate(input_ids, max_length=100)
print(tokenizer.decode(output[0], skip_special_tokens=True))

Limitations
Please note that while this model has been fine-tuned for cybersecurity tasks, it may still produce incorrect or biased information. Always verify important information with authoritative sources.
License
This model inherits its license from the original Llama 3.1 8B model. Please refer to Meta's licensing terms for the Llama model family.