Bialy17/tutor-qwen2.5-7b
Bialy17/tutor-qwen2.5-7b is a 7.6 billion parameter Qwen2.5-based instruction-tuned language model, developed by Bialy17. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging the Qwen2.5 architecture for robust performance.
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Model Overview
Bialy17/tutor-qwen2.5-7b is a 7.6 billion parameter language model developed by Bialy17. It is fine-tuned from the unsloth/qwen2.5-7b-instruct-unsloth-bnb-4bit base model, leveraging the Qwen2.5 architecture. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which is noted for enabling significantly faster training times.
Key Characteristics
- Base Model: Qwen2.5-7B-Instruct
- Developer: Bialy17
- Training Efficiency: Fine-tuned with Unsloth, which allows for up to 2x faster training compared to standard methods.
- License: Apache-2.0, providing permissive use.
Intended Use Cases
This model is suitable for a variety of instruction-following tasks, benefiting from the Qwen2.5 architecture's capabilities. Its efficient training process suggests a focus on practical deployment and accessibility for developers.