gouki510/gemma2-2b-base-filtered-geometry-keep-0.1
TEXT GENERATIONPricing:Input $0.32 / Cached $0.064 / Output $1.6Concurrent Unit Cost:1Model Size:2.6BQuant:BF16Context Size:8kPublished:Nov 18, 2025License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
gouki510/gemma2-2b-base-filtered-geometry-keep-0.1 is a 2.6 billion parameter Gemma2-based language model developed by gouki510. This model was fine-tuned using Unsloth and Huggingface's TRL library, focusing on efficient training. It is designed for general language tasks, leveraging its optimized training process for performance.
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Model Overview
gouki510/gemma2-2b-base-filtered-geometry-keep-0.1 is a 2.6 billion parameter language model built upon the Gemma2 architecture. Developed by gouki510, this model distinguishes itself through its training methodology, utilizing Unsloth and Huggingface's TRL library. This combination enabled a significantly faster fine-tuning process, specifically noted as 2x faster.
Key Capabilities
- Efficient Training: Fine-tuned with Unsloth, indicating optimizations for speed and resource usage during the training phase.
- Gemma2 Base: Inherits the foundational capabilities of the Gemma2 architecture, providing a strong base for various language understanding and generation tasks.
- General Purpose: Suitable for a broad range of applications where a compact yet capable language model is required.
Good For
- Developers seeking efficient models: Ideal for those who prioritize faster fine-tuning and deployment of Gemma2-based models.
- Applications requiring a 2.6B parameter model: Fits use cases where a balance between model size and performance is crucial.
- Experimentation with Unsloth-optimized models: Provides a practical example of a model fine-tuned using the Unsloth framework.