avoca8Hug/my_code_v01
The avoca8Hug/my_code_v01 is a 14.8 billion parameter Qwen2-based causal language model developed by avoca8Hug. This model was finetuned from unsloth/qwen2.5-coder-14b-instruct-bnb-4bit, leveraging Unsloth and Huggingface's TRL library for accelerated training. Its primary differentiation lies in its optimized training process, achieving 2x faster finetuning, making it suitable for applications requiring efficient model development.
Loading preview...
Overview
The avoca8Hug/my_code_v01 is a 14.8 billion parameter language model based on the Qwen2 architecture. It was developed by avoca8Hug and finetuned from the unsloth/qwen2.5-coder-14b-instruct-bnb-4bit model. The finetuning process utilized Unsloth and Huggingface's TRL library, which enabled a significant acceleration in training.
Key Characteristics
- Base Model: Qwen2 architecture
- Parameter Count: 14.8 billion parameters
- Finetuning: Optimized using Unsloth and Huggingface's TRL library
- Training Efficiency: Achieved 2x faster finetuning compared to standard methods.
Use Cases
This model is particularly relevant for developers and researchers who prioritize:
- Efficient Model Development: The accelerated finetuning process makes it a strong candidate for projects requiring rapid iteration and deployment of specialized models.
- Leveraging Qwen2 Capabilities: Inherits the foundational strengths of the Qwen2.5-coder-14b-instruct model, suggesting potential for code-related tasks, instruction following, and general language understanding, though specific capabilities are not detailed in the README.