gouki510/gemma2-2b-base-filtered-geometry-keep-0.9
gouki510/gemma2-2b-base-filtered-geometry-keep-0.9 is a 2.6 billion parameter Gemma2 model developed by gouki510. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed as a base model, providing a foundation for further specialization. The model supports a context length of 8192 tokens.
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Model Overview
This model, gouki510/gemma2-2b-base-filtered-geometry-keep-0.9, is a 2.6 billion parameter variant of the Gemma2 architecture. Developed by gouki510, it was finetuned from the unsloth/gemma-2-2b base model.
Key Characteristics
- Architecture: Based on the Gemma2 family, a decoder-only transformer model.
- Parameter Count: Features 2.6 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The finetuning process leveraged Unsloth and Huggingface's TRL library, resulting in a 2x speedup during training.
- Context Length: Supports an 8192-token context window, allowing for processing longer sequences of text.
Intended Use
This model serves as a foundational base model, suitable for various natural language processing tasks. Its efficient training method makes it an interesting candidate for developers looking to build upon a Gemma2 base with optimized finetuning. It can be further adapted or specialized for specific applications through additional training or prompt engineering.