Prompt48/unsloth_gemma_4-E4B-it_FT_Emotion
Prompt48/unsloth_gemma_4-E4B-it_FT_Emotion is a 7.9 billion parameter instruction-tuned language model developed by Prompt48, fine-tuned from unsloth/gemma-4-E4B-it. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model specializes in social commonsense reasoning, providing responses based on likely human intentions, needs, and reactions, and supports a context length of 32768 tokens.
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Overview
Prompt48/unsloth_gemma_4-E4B-it_FT_Emotion is a 7.9 billion parameter instruction-tuned language model developed by Prompt48. It is fine-tuned from the unsloth/gemma-4-E4B-it base model and leverages the Unsloth library in conjunction with Huggingface's TRL library for accelerated training, achieving 2x faster finetuning. The model is designed to excel in social commonsense reasoning tasks, providing insights into human intentions, needs, and reactions based on event descriptions.
Key Capabilities
- Social Commonsense Reasoning: Specialized in interpreting events and questions to deduce likely human behaviors and motivations.
- Efficient Training: Benefits from Unsloth's optimizations for faster finetuning.
- Instruction-Tuned: Designed to follow instructions effectively for specific tasks.
- Extended Context: Supports a context length of 32768 tokens.
Good for
- Applications requiring nuanced understanding of social dynamics and human behavior.
- Generating responses that reflect common sense in social scenarios.
- Researchers and developers looking for a Gemma-based model optimized for social reasoning tasks.