kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-r16alpha32-E8-S73
kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-r16alpha32-E8-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 faster training. With a context length of 32768 tokens, it is optimized for instruction-following tasks.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-r16alpha32-E8-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, this model is a fine-tuned variant of the unsloth/llama-3.2-3b-Instruct base model. A key characteristic of its development is the utilization of Unsloth and Huggingface's TRL library, which facilitated a significantly faster training process, reportedly 2x quicker.
Key Capabilities
- Instruction Following: As an instruction-tuned model, it is designed to understand and execute commands or prompts given in natural language.
- Efficient Training: Benefits from the Unsloth framework, which optimizes the training pipeline for speed.
- Llama Architecture: Built upon the Llama 3.2 architecture, providing a robust foundation for language understanding and generation.
Good For
- Applications requiring a compact yet capable instruction-following model.
- Scenarios where rapid deployment and efficient inference of a 3.2B parameter model are crucial.
- Developers looking for a Llama-based model that leverages optimized training techniques.