kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E5-S73
The kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E5-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal. It was fine-tuned from unsloth/llama-3.2-3b-Instruct using Unsloth and Huggingface's TRL library, emphasizing faster training. This model is designed for general instruction-following tasks, leveraging its Llama architecture for efficient processing.
Loading preview...
Model Overview
The kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E5-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, it is based on the Llama architecture and was fine-tuned from unsloth/llama-3.2-3b-Instruct.
Key Characteristics
- Architecture: Llama-3.2-3B base model.
- Parameter Count: 3.2 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which enabled 2x faster training.
Use Cases
This model is suitable for general instruction-following applications where a compact yet capable language model is required. Its efficient training methodology suggests it could be a good candidate for scenarios prioritizing rapid iteration and deployment on resource-constrained environments.