kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha128-E8-S73
The kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha128-E8-S73 is a 4.3 billion parameter Gemma-3 instruction-tuned model, fine-tuned by kairawal. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The kairawal/Gemma-3-4B-IT-PT-SynthDolly-r16alpha128-E8-S73 is an instruction-tuned language model based on the Gemma-3 architecture, featuring 4.3 billion parameters and a 32768 token context length. Developed by kairawal, this model was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Based on the Gemma-3 model family.
- Parameter Count: 4.3 billion parameters.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Achieved 2x faster training speeds due to the utilization of Unsloth, a library designed for efficient fine-tuning of large language models.
- Fine-tuning Method: Leverages Huggingface's TRL (Transformer Reinforcement Learning) library for instruction tuning.
Intended Use Cases
This model is suitable for a variety of general instruction-following tasks where a balance between performance and computational efficiency is desired. Its optimized training process makes it a good candidate for applications requiring rapid deployment of instruction-tuned models.