The odedovadia/Llama-3.2-1B-Instruct-phishing-detection model is a 1 billion parameter instruction-tuned language model with a 32768 token context length. Developed by odedovadia, this model is specifically designed and fine-tuned for phishing detection tasks. Its primary strength lies in identifying and classifying phishing attempts within text-based inputs.
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Model Overview
The odedovadia/Llama-3.2-1B-Instruct-phishing-detection is a 1 billion parameter instruction-tuned language model. It features a substantial context length of 32768 tokens, allowing it to process and analyze relatively long text inputs. This model has been specifically developed and fine-tuned by odedovadia with a clear focus on phishing detection.
Key Capabilities
- Phishing Detection: The model's core capability is to identify and classify text-based content as phishing attempts.
- Instruction-Tuned: It is instruction-tuned, meaning it can follow specific instructions related to its primary task.
- Large Context Window: With a 32768 token context length, it can analyze extensive messages or documents for phishing indicators.
Good For
- Email Security: Analyzing incoming emails for malicious phishing content.
- Message Filtering: Detecting phishing attempts in chat applications, forums, or social media.
- Automated Content Moderation: Assisting in flagging suspicious user-generated content that might be phishing-related.
Limitations
As indicated by the model card, specific details regarding its development, training data, evaluation, and potential biases are currently marked as "More Information Needed." Users should be aware that without this information, the model's full scope of capabilities, limitations, and potential risks cannot be thoroughly assessed. Further details are required for comprehensive recommendations regarding its use.