Hugging Face Overview
Model Overview
aki-008/model-16bit is a 1.5 billion parameter instruction-tuned language model based on the Qwen2.5 architecture. Developed by aki-008, this model was finetuned using an optimized process that leveraged Unsloth and Huggingface's TRL library. This combination allowed for significantly faster training, specifically noted as 2x quicker than standard methods.
Key Characteristics
- Architecture: Qwen2.5 base model.
- Parameter Count: 1.5 billion parameters.
- Training Efficiency: Finetuned with Unsloth and Huggingface's TRL library for 2x faster training.
- Context Length: Supports a substantial context length of 131,072 tokens.
Potential Use Cases
This model is suitable for general instruction-following tasks where a compact yet capable language model is required. Its efficient training process suggests it could be a good candidate for applications prioritizing rapid iteration and deployment, especially in scenarios where the Qwen2.5 architecture is a preferred choice.