Santhoshyuvi666/uyara-companion-1.5b
The Santhoshyuvi666/uyara-companion-1.5b is a 1.5 billion parameter Qwen2.5-based instruction-tuned causal language model developed by Santhoshyuvi666. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Qwen2.5 architecture and efficient fine-tuning process.
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Model Overview
The Santhoshyuvi666/uyara-companion-1.5b is a 1.5 billion parameter instruction-tuned model based on the Qwen2.5 architecture. Developed by Santhoshyuvi666, this model was fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit.
Key Characteristics
- Architecture: Based on the Qwen2.5 model family.
- Parameter Count: 1.5 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer inputs and generating more extensive outputs.
Use Cases
This model is suitable for a variety of general instruction-following tasks where a compact yet capable language model is required. Its efficient training method suggests it could be a good candidate for applications needing quick deployment or iterative fine-tuning on specific datasets.