kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-r16alpha128-E5-S73
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kPublished:May 25, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-r16alpha128-E5-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal. It was finetuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general instruction-following tasks, leveraging its Llama architecture for efficient performance.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-TL-SynthDolly-r16alpha128-E5-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, it is finetuned from the unsloth/llama-3.2-3b-Instruct base model.
Key Characteristics
- Architecture: Based on the Llama-3.2-3B-Instruct family.
- Training Efficiency: This model was trained significantly faster using the Unsloth library in conjunction with Huggingface's TRL library.
- Parameter Count: Features 3.2 billion parameters, offering a balance between performance and computational efficiency.
Good For
- Instruction Following: Optimized for understanding and executing a wide range of user instructions.
- Resource-Efficient Deployment: Its 3.2B parameter size makes it suitable for applications where computational resources are a consideration, potentially allowing for faster inference compared to larger models.
- Experimentation with Unsloth: Demonstrates the capabilities of Unsloth for accelerating model finetuning.