Model Overview

The Digsm003/model_sft_dare is a 1.5 billion parameter language model designed for general language tasks, featuring a substantial context length of 32768 tokens. The model card indicates it is a fine-tuned transformer model, but specific details regarding its base architecture, training data, and development team are currently marked as "More Information Needed."

Key Characteristics

• Parameter Count: 1.5 billion parameters.
• Context Length: Supports a long context window of 32768 tokens.

Current Status

As per the provided model card, detailed information regarding the model's specific capabilities, intended direct and downstream uses, known biases, risks, limitations, and evaluation results are not yet available. Users are advised that further recommendations and insights into its performance and appropriate applications require additional documentation from the developers.