kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha32-E3-S73
The kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha32-E3-S73 is a 3.2 billion parameter instruction-tuned Llama model, developed by kairawal. 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 Llama 3.2 architecture and a 32768 token context length.
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Model Overview
The kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha32-E3-S73 is a 3.2 billion parameter instruction-tuned language model. It was developed by kairawal and fine-tuned from the unsloth/llama-3.2-3b-Instruct base model.
Key Characteristics
- Architecture: Based on the Llama 3.2 family.
- Parameter Count: 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, allowing for processing longer inputs and maintaining conversational coherence over extended interactions.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Use Cases
This model is suitable for a variety of instruction-following applications, benefiting from its optimized training and large context window. Its Llama 3.2 foundation makes it a robust choice for tasks requiring general language understanding and generation.