edusc182/Gemma_2B
VISIONConcurrency Cost:1Model Size:5.1BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:Jun 21, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
edusc182/Gemma_2B is a 5.1 billion parameter language model developed by edusc182, finetuned from unsloth/gemma-4-E2B-it. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging the Gemma architecture for efficient performance.
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Overview
edusc182/Gemma_2B is a 5.1 billion parameter language model, finetuned by edusc182 from the unsloth/gemma-4-E2B-it base model. This model leverages the Gemma architecture and was specifically trained using the Unsloth library in conjunction with Huggingface's TRL library. A key characteristic of its development is the reported 2x faster training time achieved through the use of Unsloth.
Key Capabilities
- Efficient Training: Developed with Unsloth, enabling significantly faster training compared to traditional methods.
- Gemma Architecture: Benefits from the underlying Gemma model's capabilities for language understanding and generation.
- General Purpose: Suitable for a range of common language model applications.
Good For
- Developers seeking a Gemma-based model with optimized training origins.
- Applications requiring a 5.1 billion parameter model for various text-based tasks.
- Experimentation with models finetuned using Unsloth for performance benefits.