meissosisai/arc1-mini
The meissosisai/arc1-mini is a 3.8 billion parameter Phi-3 model, finetuned by meissosisai from unsloth/phi-4-mini-instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster finetuning. It is designed for general instruction-following tasks, leveraging its efficient training methodology.
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Model Overview
The meissosisai/arc1-mini is a 3.8 billion parameter language model, developed by meissosisai. It is a finetuned variant of the Phi-3 architecture, specifically building upon the unsloth/phi-4-mini-instruct-unsloth-bnb-4bit model.
Key Characteristics
- Architecture: Based on the Phi-3 model family.
- Parameter Count: 3.8 billion parameters, offering a balance between performance and efficiency.
- Training Efficiency: Finetuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Context Length: Supports a context window of 32768 tokens.
Intended Use Cases
This model is suitable for a variety of instruction-following applications where a compact yet capable language model is required. Its efficient training process makes it an interesting candidate for developers looking to deploy models with optimized resource usage.