kairawal/Llama-3.2-3B-Instruct-EN-SynthDolly-r16alpha128-E5-S73

TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 21, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.2-3B-Instruct-EN-SynthDolly-r16alpha128-E5-S73 is a 3.2 billion parameter instruction-tuned language model developed by kairawal, based on the Llama-3.2 architecture. 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 efficient training methodology for practical applications.

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Model Overview

The kairawal/Llama-3.2-3B-Instruct-EN-SynthDolly-r16alpha128-E5-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, it is built upon the Llama-3.2 architecture and has been fine-tuned for enhanced performance.

Key Characteristics

  • Base Model: Fine-tuned from unsloth/llama-3.2-3b-Instruct.
  • Efficient Training: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training process.
  • Parameter Count: Features 3.2 billion parameters, offering a balance between performance and computational efficiency.

Intended Use Cases

This model is suitable for a variety of instruction-following tasks where a compact yet capable language model is required. Its efficient training makes it a good candidate for applications prioritizing faster deployment and reduced resource consumption.