kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E3-S73
The kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E3-S73 is a 4.3 billion parameter instruction-tuned language model, fine-tuned from unsloth/gemma-3-4b-it. Developed by kairawal, this model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its 32768 token context length for processing longer inputs.
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Model Overview
The kairawal/Gemma-3-4B-IT-EL-SynthDolly-r16alpha32-E3-S73 is a 4.3 billion parameter instruction-tuned model, building upon the unsloth/gemma-3-4b-it base. This model was developed by kairawal and utilizes the Unsloth framework in conjunction with Huggingface's TRL library for its fine-tuning process. A key aspect of its development is the claim of 2x faster training achieved through the use of Unsloth.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/gemma-3-4b-it. - Parameter Count: 4.3 billion parameters.
- Training Efficiency: Leverages Unsloth for accelerated training.
- Context Length: Features a 32768 token context window, suitable for handling extensive prompts and generating longer responses.
Use Cases
This model is primarily suited for general instruction-following tasks, benefiting from its instruction-tuned nature and extended context length. It can be applied to various natural language processing applications where understanding and generating text based on specific instructions are crucial.