maximedb/twentle-gemma-4-r128

VISIONConcurrency Cost:2Model Size:31BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:May 24, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The maximedb/twentle-gemma-4-r128 is a 31 billion parameter instruction-tuned Gemma 4 model, developed by maximedb. This model was finetuned using Unsloth and Huggingface's TRL library, resulting in a 2x faster training process. It is designed for general language generation tasks, leveraging the Gemma 4 architecture for efficient performance.

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Model Overview

The maximedb/twentle-gemma-4-r128 is a 31 billion parameter instruction-tuned model based on the Gemma 4 architecture. Developed by maximedb, this model was finetuned using a combination of Unsloth and Huggingface's TRL library.

Key Characteristics

  • Architecture: Gemma 4 base model.
  • Parameter Count: 31 billion parameters.
  • Training Efficiency: Finetuned with Unsloth, which enabled a 2x faster training process compared to standard methods.
  • License: Released under the Apache-2.0 license.

Use Cases

This model is suitable for various instruction-following tasks, benefiting from its Gemma 4 foundation and optimized finetuning. Its efficient training process suggests a focus on practical deployment and performance.

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