kairawal/Llama-3.2-3B-Instruct-GA-SynthDolly-r16alpha32-E3-S73
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 14, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The kairawal/Llama-3.2-3B-Instruct-GA-SynthDolly-r16alpha32-E3-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
This model, developed by kairawal, is an instruction-tuned variant of the Llama-3.2-3B architecture, featuring 3.2 billion parameters and a 32768-token context length. It was fine-tuned from the unsloth/llama-3.2-3b-Instruct base model.
Key Characteristics
- Efficient Training: The model was trained 2x faster by utilizing Unsloth and Huggingface's TRL library, indicating an optimization for training speed and resource efficiency.
- Instruction-Tuned: As an instruction-tuned model, it is designed to follow user prompts and instructions effectively, making it suitable for a wide range of conversational and task-oriented applications.
Good For
- General Instruction Following: Its instruction-tuned nature makes it well-suited for tasks requiring the model to understand and execute specific commands or answer questions based on provided instructions.
- Resource-Efficient Deployment: Given its 3.2 billion parameter size and optimized training, it may be a good candidate for applications where computational resources are a consideration, offering a balance between performance and efficiency.