kairawal/Llama-3.2-3B-Instruct-EL-SynthDolly-r16alpha32-E5-S73

TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 19, 2026License:apache-2.0Architecture:Transformer Open Weights Cold

The kairawal/Llama-3.2-3B-Instruct-EL-SynthDolly-r16alpha32-E5-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general instruction-following tasks, leveraging its efficient training methodology.

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Model Overview

The kairawal/Llama-3.2-3B-Instruct-EL-SynthDolly-r16alpha32-E5-S73 is a 3.2 billion parameter instruction-tuned language model. It is based on the Llama architecture and was developed by kairawal.

Key Characteristics

  • Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
  • Instruction-Tuned: As an instruction-tuned model, it is designed to follow user prompts and instructions effectively.
  • Base Model: It is fine-tuned from the unsloth/llama-3.2-3b-Instruct base model.

Potential Use Cases

This model is suitable for applications requiring a compact yet capable instruction-following LLM, particularly where efficient deployment and inference are important due to its smaller parameter count. Its instruction-tuned nature makes it versatile for various NLP tasks.