minju2026/dama-aibrain

VISIONPricing:Input $0.4 / Cached $0.08 / Output $0.8Concurrent Unit Cost:1Model Size:5.1BQuant:BF16Context Size:32kTool Calling:SupportedPublished:Aug 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

minju2026/dama-aibrain is a 5.1 billion parameter Gemma-4 based causal language model, finetuned by minju2026. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general language generation tasks, leveraging its efficient training methodology.

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Model Overview

minju2026/dama-aibrain is a 5.1 billion parameter language model, finetuned from the Gemma-4 architecture. Developed by minju2026, this model utilizes the Unsloth library in conjunction with Huggingface's TRL library, which facilitated a 2x acceleration in its finetuning process.

Key Characteristics

  • Base Model: Finetuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit.
  • Efficient Training: Leverages Unsloth for significantly faster finetuning.
  • License: Distributed under the Apache-2.0 license.

Use Cases

This model is suitable for various natural language processing tasks where a Gemma-4 based model with efficient training is beneficial. Its finetuning approach suggests potential for applications requiring rapid adaptation or deployment.

Finetunes
2 models