sori-forest/aether-brain-v1-merged

VISIONConcurrency Cost:1Model Size:5.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 15, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The sori-forest/aether-brain-v1-merged is a 5.1 billion parameter Gemma-4 based causal language model developed by sori-forest. This model was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Gemma-4 architecture for efficient performance. The model supports a context length of 32768 tokens.

Loading preview...

Overview

sori-forest/aether-brain-v1-merged is a 5.1 billion parameter language model developed by sori-forest. It is based on the Gemma-4 architecture and was finetuned from unsloth/gemma-4-e2b-it-unsloth-bnb-4bit. A key aspect of its development is the use of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.

Key Capabilities

  • Gemma-4 Architecture: Leverages the foundational capabilities of the Gemma-4 model family.
  • Efficient Finetuning: Benefits from accelerated training using Unsloth, indicating potential for rapid adaptation or specialized tasks.
  • General Language Generation: Suitable for a broad range of text-based applications.
  • Extended Context Window: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more coherent, extended outputs.

Good For

  • Developers seeking a Gemma-4 based model with an efficient finetuning history.
  • Applications requiring a model capable of handling substantial context.
  • General text generation and understanding tasks where the Gemma-4 architecture is preferred.

Finetunes
2 models