Model Overview

This model, sstoica12/acquisition_metamath_llama_instruct_3b_math_proximity_500_combined_metamath, is a 3.2 billion parameter language model. It is based on the Llama architecture and has been instruction-tuned, supporting a context length of 32768 tokens. The model card indicates that specific details regarding its development, funding, language, license, and finetuning base are currently unavailable.

Key Capabilities

• Instruction-tuned: Designed to follow instructions effectively.
• Large Context Window: Supports a substantial context length of 32768 tokens, allowing for processing longer inputs.

Good For

• Exploratory Use: Suitable for developers looking to experiment with a Llama-based, instruction-tuned model of this size and context capacity.

Limitations

Most details regarding the model's intended use, specific applications, training data, evaluation results, biases, risks, and environmental impact are marked as "More Information Needed" in its model card. Users should exercise caution and conduct thorough testing for any specific application, as its full capabilities and limitations are not yet documented.