2stacks/gemma3-4b-it-comedy-v1
2stacks/gemma3-4b-it-comedy-v1 is a 4.3 billion parameter instruction-tuned Gemma 3 model developed by 2stacks. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general instruction-following tasks, leveraging the Gemma 3 architecture for efficient performance.
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Model Overview
2stacks/gemma3-4b-it-comedy-v1 is a 4.3 billion parameter instruction-tuned model based on the Gemma 3 architecture, developed by 2stacks. It was fine-tuned from the unsloth/gemma-3-4b-it-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Gemma 3, a decoder-only transformer model.
- Parameter Count: 4.3 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a context length of 32768 tokens.
Use Cases
This model is suitable for various instruction-following applications where a compact yet capable language model is required. Its efficient training process suggests potential for rapid iteration and deployment in scenarios demanding quick fine-tuning or resource-conscious inference.