PS4Research/nTbiAMoafhgQd0Fb
PS4Research/nTbiAMoafhgQd0Fb is a 14.7 billion parameter Phi-3 model developed by PS4Research, fine-tuned from unsloth/phi-4-reasoning-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is designed for general language tasks, leveraging its efficient training methodology.
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Model Overview
PS4Research/nTbiAMoafhgQd0Fb is a 14.7 billion parameter language model developed by PS4Research. It is a fine-tuned variant of the unsloth/phi-4-reasoning-unsloth-bnb-4bit model, indicating a focus on reasoning capabilities.
Key Characteristics
- Architecture: Based on the Phi-3 model family.
- Parameter Count: 14.7 billion parameters.
- Context Length: Supports a context window of 32768 tokens.
- Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which enabled a 2x faster training process compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
Given its foundation and efficient training, this model is suitable for a range of general language understanding and generation tasks, particularly where reasoning capabilities are beneficial. The use of Unsloth suggests an optimization for efficient deployment and fine-tuning workflows.