kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-1A-E3

TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:Apr 9, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-1A-E3 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, enabling 2x faster training. This model is designed for instruction-following tasks, leveraging its efficient training methodology.

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Model Overview

kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-1A-E3 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, this model is an adaptation of the unsloth/llama-3.2-3b-Instruct base model.

Key Characteristics

  • Efficient Training: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
  • Instruction-Tuned: Designed to follow instructions effectively, making it suitable for a variety of prompt-based tasks.
  • Llama Architecture: Built upon the Llama 3.2 architecture, providing a robust foundation for language understanding and generation.

Use Cases

This model is well-suited for applications requiring a compact yet capable instruction-following language model. Its efficient training process suggests potential for rapid iteration and deployment in scenarios where resource optimization is key. Developers can leverage its instruction-tuned nature for tasks such as:

  • General question answering
  • Text generation based on prompts
  • Simple conversational agents