kairawal/Llama-3.2-3B-Instruct-DA-SynthDolly-r16alpha32-E1-S73

TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 7, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.2-3B-Instruct-DA-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned language model developed by kairawal, finetuned from unsloth/llama-3.2-3b-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general instruction-following tasks, leveraging its Llama-3.2 base for broad applicability.

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Model Overview

The kairawal/Llama-3.2-3B-Instruct-DA-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned language model. It was developed by kairawal and is finetuned from the unsloth/llama-3.2-3b-Instruct base model.

Key Characteristics

  • Base Model: Finetuned from unsloth/llama-3.2-3b-Instruct.
  • Training Efficiency: The model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library.
  • Parameter Count: Features 3.2 billion parameters, making it suitable for applications requiring a balance between performance and computational resources.

Potential Use Cases

This model is generally suitable for instruction-following tasks, benefiting from its Llama-3.2 architecture and instruction-tuning. Its efficient training process suggests it could be a good candidate for scenarios where rapid iteration or deployment on resource-constrained environments is important.