xl-24/gemma4-31b-atc-finetune_sp-merged-16bit
VISIONConcurrency Cost:2Model Size:31BQuant:FP8Ctx Length:32kTool Calling:SupportedPublished:Jun 2, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The xl-24/gemma4-31b-atc-finetune_sp-merged-16bit is a 31 billion parameter Gemma 4 model, finetuned by xl-24. This model was optimized for training speed using Unsloth and Huggingface's TRL library. It is designed for general language tasks, leveraging its large parameter count and efficient finetuning process.
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Overview
The xl-24/gemma4-31b-atc-finetune_sp-merged-16bit is a 31 billion parameter language model developed by xl-24. It is a finetuned variant of the Gemma 4 architecture, specifically built upon the unsloth/gemma-4-31b-it-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Based on the Gemma 4 model family.
- Parameter Count: Features 31 billion parameters, indicating a substantial capacity for complex language understanding and generation.
- Training Optimization: This model was finetuned with a focus on efficiency, achieving 2x faster training speeds through the integration of Unsloth and Huggingface's TRL library. This optimization suggests a model that benefits from advanced training techniques.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Potential Use Cases
- Applications requiring a large, capable language model.
- Scenarios where efficient finetuning processes are valued.
- General natural language processing tasks, leveraging the Gemma 4 architecture's strengths.