kairawal/Llama-3.2-3B-Instruct-HI-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-HI-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, offering faster training compared to standard methods. This model is designed for instruction-following tasks, leveraging its Llama architecture for general-purpose language generation.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-r16alpha32-E3-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: This model was trained using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
- Instruction-tuned: Optimized for understanding and following instructions, making it suitable for various conversational and task-oriented applications.
- Llama Architecture: Benefits from the robust and widely-used Llama model family, providing a strong foundation for language understanding and generation.
Good For
- Instruction Following: Ideal for applications requiring the model to adhere to specific prompts and instructions.
- General Language Tasks: Suitable for a broad range of natural language processing tasks where a compact yet capable instruction-tuned model is beneficial.
- Resource-Efficient Deployment: Its 3.2 billion parameter size makes it a good candidate for scenarios where computational resources are a consideration, while still offering solid performance.