DFveloper/AIKAR-3.1-Pro-Q4_0-QAT-unquantized

VISIONConcurrency Cost:2Model Size:26BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 20, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

DFveloper/AIKAR-3.1-Pro-Q4_0-QAT-unquantized is a 26 billion parameter Gemma 4 model, finetuned by DFveloper, featuring a 32768 token context length. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is based on the llmfan46/gemma-4-26B-A4B-it-uncensored-heretic model, offering specialized performance derived from its finetuning process.

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Model Overview

DFveloper/AIKAR-3.1-Pro-Q4_0-QAT-unquantized is a 26 billion parameter Gemma 4 model, developed by DFveloper. It is finetuned from the llmfan46/gemma-4-26B-A4B-it-uncensored-heretic model and operates under an Apache-2.0 license. This model supports a substantial context length of 32768 tokens.

Key Characteristics

  • Architecture: Based on the Gemma 4 model family.
  • Parameter Count: Features 26 billion parameters.
  • Context Length: Supports a 32768 token context window.
  • Training Efficiency: The finetuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training speed compared to conventional methods.

Use Cases

This model is suitable for applications requiring a large context window and benefits from the specialized finetuning applied by DFveloper. Its efficient training methodology suggests potential for rapid iteration and deployment in various language-based tasks.

Finetunes
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