NeulhaeBuk/dama-aibrain
VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Oct 9, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
dama-aibrain is a 5.1 billion parameter instruction-tuned causal language model developed by NeulhaeBuk, finetuned from unsloth/gemma-4-E2B-it-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language understanding and generation tasks, leveraging its efficient training methodology.
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Overview
dama-aibrain is a 5.1 billion parameter instruction-tuned language model developed by NeulhaeBuk. It is finetuned from the unsloth/gemma-4-E2B-it-unsloth-bnb-4bit base model. A key characteristic of this model is its efficient training process, which was accelerated by 2x using the Unsloth library in conjunction with Huggingface's TRL library.
Key Capabilities
- Instruction Following: As an instruction-tuned model, dama-aibrain is designed to understand and execute commands or prompts effectively.
- Efficient Training: Benefits from a training methodology that significantly reduces training time, making it a practical choice for developers.
- General Language Tasks: Suitable for a broad range of natural language processing applications.
Good For
- Developers seeking a moderately sized instruction-tuned model for various NLP tasks.
- Projects where efficient training and deployment are important considerations.
- Applications requiring a model built upon the Gemma architecture with enhanced instruction-following capabilities.