ShahriarFerdoush/llama2-13b-math-code-obf-w-dare-merged
ShahriarFerdoush/llama2-13b-math-code-obf-w-dare-merged is a 13 billion parameter Llama 2-based model developed by ShahriarFerdoush. This model is designed for general language tasks, with a context length of 4096 tokens. Its specific optimizations for mathematical, coding, or obfuscation tasks are not detailed in the provided information. It serves as a foundational language model for various applications.
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Model Overview
This model, ShahriarFerdoush/llama2-13b-math-code-obf-w-dare-merged, is a 13 billion parameter language model based on the Llama 2 architecture. It is shared on the Hugging Face Hub as a 🤗 transformers model.
Key Characteristics
- Model Type: Llama 2-based language model.
- Parameter Count: 13 billion parameters.
- Context Length: Supports a context window of 4096 tokens.
Intended Use
Due to the limited information provided in the model card, specific direct or downstream uses are not detailed. However, as a general-purpose Llama 2-based model, it can be adapted for a variety of natural language processing tasks. Users should be aware of potential biases, risks, and limitations, as further details are needed for comprehensive recommendations.
Limitations
The model card indicates that more information is needed regarding its development, funding, specific training data, evaluation metrics, and environmental impact. Users are advised to exercise caution and conduct their own assessments regarding its suitability for specific applications, especially concerning bias, risks, and technical limitations.