CYBERDEVX/AI-Content-Detector
CYBERDEVX/AI-Content-Detector is an 8 billion parameter Llama 3.1 instruction-tuned model developed by Devx_o. Fine-tuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit, this model was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is designed for detecting AI-generated content, leveraging its Llama 3.1 architecture and 32768 token context length for robust analysis.
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Model Overview
CYBERDEVX/AI-Content-Detector is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by Devx_o. It was fine-tuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit and utilizes the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Architecture: Based on the Llama 3.1 family.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Leverages Unsloth for accelerated fine-tuning.
- Context Length: Supports a context window of 32768 tokens.
Primary Use Case
This model is specifically designed and optimized for the detection of AI-generated content. Its Llama 3.1 foundation and efficient training make it suitable for tasks requiring robust analysis of text to identify artificial intelligence authorship.