ekberglpnar/gemma_astrology
ekberglpnar/gemma_astrology is a 31 billion parameter instruction-tuned Gemma 4 model developed by ekberglpnar, fine-tuned from unsloth/gemma-4-31b-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language generation tasks, leveraging its large parameter count and instruction-tuning for diverse applications.
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Model Overview
ekberglpnar/gemma_astrology is a 31 billion parameter instruction-tuned language model, developed by ekberglpnar. It is based on the Gemma 4 architecture and was fine-tuned from the unsloth/gemma-4-31b-it-unsloth-bnb-4bit model. This model leverages the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x acceleration in its training process.
Key Characteristics
- Architecture: Gemma 4
- Parameters: 31 billion
- Context Length: 32768 tokens
- Training Efficiency: Utilizes Unsloth for faster fine-tuning.
- License: Apache-2.0
Good For
- General instruction-following tasks.
- Applications requiring a large language model with efficient training origins.
- Exploring models fine-tuned with Unsloth for performance benefits.