arefehRajabian/phi_mini_finetune_16bit
The arefehRajabian/phi_mini_finetune_16bit is a 3.8 billion parameter Phi-3 model, fine-tuned by arefehRajabian. It was developed using Unsloth and Hugging Face's TRL library, enabling 2x faster training. This model is based on unsloth/phi-4-mini-reasoning-unsloth-bnb-4bit and is suitable for tasks requiring efficient inference from a compact language model.
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Model Overview
The arefehRajabian/phi_mini_finetune_16bit is a fine-tuned Phi-3 model, developed by arefehRajabian. This model leverages the unsloth/phi-4-mini-reasoning-unsloth-bnb-4bit as its base, indicating a focus on reasoning capabilities within a compact parameter count.
Key Characteristics
- Architecture: Based on the Phi-3 family, known for strong performance in smaller models.
- Parameter Count: This model has 3.8 billion parameters, offering a balance between capability and efficiency.
- Training Efficiency: The fine-tuning process utilized Unsloth and Hugging Face's TRL library, resulting in a 2x speed improvement during training.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Use Cases
This model is well-suited for applications where a smaller, efficient language model is required, particularly for tasks that benefit from its Phi-3 base and potential reasoning optimizations. Its efficient training methodology suggests it could be a good candidate for further fine-tuning on specific downstream tasks.