shemilk/gemma-3-4b-finetune-fenml
VISIONConcurrency Cost:1Model Size:4.3BQuant:BF16Ctx Length:32kPublished:Jan 22, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The shemilk/gemma-3-4b-finetune-fenml is a 4.3 billion parameter Gemma 3 model, fine-tuned by shemilk. It was trained using Unsloth and Huggingface's TRL library, enabling 2x faster fine-tuning. This model is optimized for efficient deployment and performance, leveraging its base architecture for general language tasks.
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Model Overview
The shemilk/gemma-3-4b-finetune-fenml is a 4.3 billion parameter language model, fine-tuned by shemilk. It is based on the Gemma 3 architecture and was specifically trained using the Unsloth library in conjunction with Huggingface's TRL library. This training methodology allowed for a 2x acceleration in the fine-tuning process, making it an efficient choice for developers looking for optimized models.
Key Capabilities
- Efficient Fine-tuning: Leverages Unsloth for significantly faster training times compared to standard methods.
- Gemma 3 Base: Benefits from the robust capabilities of the Gemma 3 foundational model.
- General Language Tasks: Suitable for a wide range of natural language processing applications.
Good For
- Developers seeking a Gemma 3-based model with an emphasis on training efficiency.
- Applications requiring a 4.3 billion parameter model for general text generation and understanding.
- Experimentation with models fine-tuned using advanced optimization libraries like Unsloth.