The amphora/orpo-5e-8 is a 7.6 billion parameter Qwen2 model developed by amphora, fine-tuned from amphora/math-custom-data. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language tasks, leveraging its Qwen2 architecture and efficient training methodology.
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Model Overview
The amphora/orpo-5e-8 is a 7.6 billion parameter Qwen2-based language model developed by amphora. It was fine-tuned from the amphora/math-custom-data model, indicating a potential specialization or enhancement related to mathematical or custom data tasks. The training process utilized Unsloth and Huggingface's TRL library, which enabled a significant speedup, achieving 2x faster training.
Key Characteristics
- Architecture: Based on the Qwen2 model family.
- Parameter Count: 7.6 billion parameters.
- Training Efficiency: Leverages Unsloth and Huggingface TRL for 2x faster fine-tuning.
- Origin: Fine-tuned from
amphora/math-custom-databy amphora.
Potential Use Cases
This model is suitable for applications requiring a capable 7.6B parameter language model, especially where the base amphora/math-custom-data model's characteristics are beneficial. Its efficient training suggests it could be a good candidate for further fine-tuning on specific downstream tasks.