kairawal/Llama-3.2-3B-Instruct-PT-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-PT-SynthDolly-r16alpha32-E3-S73 is a 3.2 billion parameter instruction-tuned Llama model developed by kairawal, fine-tuned from unsloth/llama-3.2-3b-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. With a context length of 32768 tokens, it is optimized for efficient instruction-following tasks.
Loading preview...
Model Overview
kairawal/Llama-3.2-3B-Instruct-PT-SynthDolly-r16alpha32-E3-S73 is a 3.2 billion parameter instruction-tuned Llama model, developed by kairawal. It is fine-tuned from the unsloth/llama-3.2-3b-Instruct base model and features a substantial context length of 32768 tokens.
Key Capabilities
- Efficient Training: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process compared to standard methods.
- Instruction Following: As an instruction-tuned variant, it is designed to understand and execute user prompts effectively.
- Extended Context: The 32768-token context window allows for processing longer inputs and maintaining coherence over extended conversations or documents.
Good For
- Applications requiring a compact yet capable instruction-following model.
- Scenarios where efficient inference and deployment of a Llama-based model are critical.
- Tasks benefiting from a larger context window for detailed interactions.