suryeon123/dama-aibrain
The suryeon123/dama-aibrain is a 5.1 billion parameter Gemma-4 based instruction-tuned language model, developed by suryeon123. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Gemma-4 foundation and efficient fine-tuning process.
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Model Overview
The suryeon123/dama-aibrain is a 5.1 billion parameter instruction-tuned language model, developed by suryeon123. It is based on the Gemma-4 architecture and was fine-tuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit model. This model leverages the Unsloth library and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Base Model: Gemma-4 architecture.
- Parameter Count: 5.1 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training Efficiency: Fine-tuned with Unsloth for accelerated training.
- License: Released under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of instruction-following tasks, benefiting from its efficient fine-tuning and the capabilities inherited from the Gemma-4 base model. Its optimized training process suggests potential for applications where rapid deployment or iteration on instruction-tuned models is beneficial.