kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-r16alpha32-E1-S73
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:May 7, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal. It was fine-tuned from unsloth/llama-3.2-3b-Instruct using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for instruction-following tasks, leveraging its Llama architecture and efficient training methodology.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-HI-SynthDolly-r16alpha32-E1-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 Training: The model was trained using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Instruction-Tuned: As an instruction-tuned variant, it is optimized to follow user prompts and instructions effectively.
- Llama Family: Being part of the Llama family, it benefits from the architectural advancements and general capabilities associated with these models.
Good For
- Instruction Following: Ideal for applications requiring the model to understand and execute specific instructions.
- Resource-Efficient Deployment: Its 3.2 billion parameter size makes it suitable for scenarios where computational resources are a consideration, offering a balance between performance and efficiency.
- Experimentation with Unsloth: Provides a practical example of models trained with Unsloth for faster fine-tuning.