hw0325/my-brain-v1
hw0325/my-brain-v1 is a 5.1 billion parameter Gemma4 model developed by hw0325, fine-tuned using Unsloth and Huggingface's TRL library. This model was trained for enhanced performance and efficiency, leveraging Unsloth's accelerated training capabilities. It is designed for general language generation tasks, building upon the Gemma architecture.
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Overview
hw0325/my-brain-v1 is a 5.1 billion parameter language model, developed by hw0325. It is a fine-tuned variant of the Gemma4 architecture, specifically optimized for training efficiency and speed. The model leverages the Unsloth library in conjunction with Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. - Training Efficiency: Achieved 2x faster training through the use of Unsloth.
- Parameter Count: Features 5.1 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a context window of 32768 tokens.
Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from its efficient training and the capabilities inherited from the Gemma4 base. Its optimized training process suggests potential for applications where rapid iteration and deployment are valuable.