askdowq2/my-brain-v1
VISIONConcurrency Cost:1Model Size:5.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 27, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The askdowq2/my-brain-v1 is a 5.1 billion parameter causal language model developed by askdowq2, fine-tuned from the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit model. It was trained using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language generation tasks, leveraging its Gemma-4 base for efficient performance within a 32768 token context length.
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Model Overview
The askdowq2/my-brain-v1 is a 5.1 billion parameter language model developed by askdowq2. It is a fine-tuned variant of the unsloth/gemma-4-e2b-it-unsloth-bnb-4bit model, leveraging the Gemma-4 architecture.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. - Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: Features 5.1 billion parameters, offering a balance between performance and computational requirements.
- Context Length: Supports a substantial context window of 32768 tokens.
Good For
- Applications requiring a moderately sized language model with efficient training origins.
- General text generation and understanding tasks where the Gemma-4 architecture is suitable.
- Use cases benefiting from a model fine-tuned with Unsloth for optimized performance.