kmseong/llama3_2_3b-instruct-math-safedelta-scale2
The kmseong/llama3_2_3b-instruct-math-safedelta-scale2 is a 3.2 billion parameter instruction-tuned language model with a 32768 token context length. This model is designed for general language understanding and generation tasks. Its instruction-tuned nature suggests suitability for following user prompts and engaging in conversational AI. The "math" and "safedelta-scale2" in its name imply potential optimizations or fine-tuning for mathematical reasoning and safety, though specific details are not provided in the model card.
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Overview
The kmseong/llama3_2_3b-instruct-math-safedelta-scale2 is a 3.2 billion parameter instruction-tuned language model. It features a substantial context length of 32768 tokens, allowing it to process and generate longer sequences of text. The model's name, including "math" and "safedelta-scale2," suggests a focus on mathematical capabilities and safety enhancements, although specific details regarding its training data, architecture, or performance benchmarks are not available in the provided model card.
Key Characteristics
- Parameter Count: 3.2 billion parameters.
- Context Length: Supports up to 32768 tokens, enabling handling of extensive inputs and outputs.
- Instruction-Tuned: Designed to follow instructions and engage in interactive conversations.
- Potential Specialization: The "math" and "safedelta-scale2" components in its name indicate possible fine-tuning for mathematical reasoning and safety-related applications.
Limitations
The provided model card indicates that much information is "More Information Needed," including details on its development, training data, evaluation results, and intended uses. Users should be aware of these gaps when considering the model for specific applications, as its full capabilities and potential biases are not yet documented.