PS4Research/mN7qZ4xE2gU9kR6v
PS4Research/mN7qZ4xE2gU9kR6v is a 14.7 billion parameter phi3 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 phi3 architecture and efficient training methodology.
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Model Overview
PS4Research/mN7qZ4xE2gU9kR6v 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, leveraging the phi3 architecture.
Key Characteristics
- Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Parameter Count: With 14.7 billion parameters, it offers a substantial capacity for various language understanding and generation tasks.
- Context Length: The model supports a context length of 32768 tokens, allowing it to process and generate longer sequences of text.
Use Cases
This model is suitable for applications requiring a capable language model with efficient training origins. Its phi3 base and substantial parameter count suggest utility in areas such as:
- Text generation
- Reasoning tasks
- General conversational AI
- Content creation