kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha128-E8-S73

Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:May 23, 2026License:apache-2.0Architecture:Transformer Open Weights Warm

The kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha128-E8-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 2x faster training. It is designed for instruction-following tasks, leveraging its Llama architecture and efficient fine-tuning process.

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Model Overview

The kairawal/Llama-3.2-3B-Instruct-ZH-SynthDolly-r16alpha128-E8-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, this model is based on the Llama architecture and was fine-tuned from unsloth/llama-3.2-3b-Instruct.

Key Characteristics

  • Efficient Fine-tuning: 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 various conversational and task-oriented applications.
  • Llama Architecture: Benefits from the robust and widely recognized Llama model family's capabilities.

Potential Use Cases

This model is well-suited for applications requiring a compact yet capable instruction-following language model, particularly where efficient deployment and inference are critical. Its optimized training process suggests a focus on practical, performant applications.