kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E1-S73
VISIONConcurrency Cost:1Model Size:4.3BQuant:BF16Ctx Length:32kPublished:May 11, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E1-S73 is a 4.3 billion parameter instruction-tuned Gemma model, developed by kairawal and fine-tuned from unsloth/gemma-3-4b-it. This model was specifically trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a 32768 token context length, it is optimized for efficient performance in instruction-following tasks.
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Model Overview
This model, developed by kairawal, is an instruction-tuned variant of the Gemma-3-4B architecture, featuring 4.3 billion parameters and a substantial 32768 token context length. It was fine-tuned from the unsloth/gemma-3-4b-it base model.
Key Characteristics
- Efficient Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x speedup in the training process.
- Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a variety of conversational and task-oriented applications.
- Gemma Architecture: Built upon Google's Gemma family of open models, known for their strong performance in a compact size.
Good For
- Instruction Following: Ideal for applications requiring the model to adhere to specific prompts and instructions.
- Resource-Efficient Deployment: Its 4.3 billion parameters, combined with efficient training methods, suggest potential for deployment in environments where computational resources are a consideration.
- Research and Development: Provides a base for further experimentation and fine-tuning on specific datasets, leveraging its optimized training foundation.