kairawal/Llama-3.2-3B-Instruct-GA-SynthDolly-r16alpha32-E1-S73
TEXT GENERATIONConcurrency Cost:1Model Size:3.2BQuant:BF16Ctx Length:32kTool Calling:SupportedPublished:May 7, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
kairawal/Llama-3.2-3B-Instruct-GA-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal. This model was finetuned from unsloth/llama-3.2-3b-Instruct, leveraging Unsloth and Huggingface's TRL library for 2x faster training. With a 32768 token context length, it is optimized for efficient performance in generative AI applications.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-GA-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, this model is a finetuned variant of unsloth/llama-3.2-3b-Instruct, indicating a focus on instruction-following capabilities.
Key Characteristics
- Architecture: Based on the Llama model family.
- Parameter Count: 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens, enabling processing of longer inputs and generating more coherent, extended responses.
- Training Efficiency: The model was trained using Unsloth and Huggingface's TRL library, resulting in 2x faster finetuning compared to standard methods.
Potential Use Cases
- Instruction Following: Designed for tasks requiring the model to adhere to specific instructions.
- Generative AI Applications: Suitable for various generative tasks where a moderately sized, efficient model with a large context window is beneficial.
- Research and Development: Can serve as a base for further experimentation and finetuning due to its efficient training methodology.