EvenSina/dama-aibrain
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 6, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
EvenSina/dama-aibrain is a 5.1 billion parameter language model developed by EvenSina, fine-tuned from unsloth/gemma-4-E2B-it-unsloth-bnb-4bit. It was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. This model is designed for general language generation tasks, leveraging its efficient training methodology to provide a capable foundation for various applications.
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EvenSina/dama-aibrain Overview
EvenSina/dama-aibrain is a 5.1 billion parameter language model, developed by EvenSina. This model is a fine-tuned version of the unsloth/gemma-4-E2B-it-unsloth-bnb-4bit base model, leveraging efficient training techniques.
Key Capabilities
- Efficient Training: The model was trained 2x faster using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- General Language Generation: As a fine-tuned Gemma-4 variant, it is suitable for a broad range of natural language processing tasks.
Good For
- Developers seeking a moderately sized language model (5.1B parameters) for various text generation and understanding applications.
- Projects that can benefit from a model trained with efficiency-focused tools like Unsloth.
- Experimentation with models derived from the Gemma architecture.