kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-r16alpha32-E1-S73
The kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned causal language model developed by kairawal. Fine-tuned from unsloth/llama-3.2-3b-Instruct, this model was trained using Unsloth and Huggingface's TRL library for accelerated performance. It is designed for instruction-following tasks, leveraging its Llama-3.2 base and a 32768 token context length.
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Model Overview
The kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-r16alpha32-E1-S73 is a 3.2 billion parameter instruction-tuned language model. Developed by kairawal, it is fine-tuned from the unsloth/llama-3.2-3b-Instruct base model, indicating its foundation in the Llama-3.2 architecture.
Key Training Details
This model was trained with a focus on efficiency, utilizing Unsloth and Huggingface's TRL library. This approach allowed for a 2x faster training process compared to standard methods, optimizing the development cycle.
Capabilities and Use Cases
As an instruction-tuned model, its primary capability lies in understanding and executing user instructions. With a context length of 32768 tokens, it can process and generate longer sequences of text, making it suitable for tasks requiring extended conversational memory or detailed responses. The model's Llama-3.2 foundation suggests general language understanding and generation abilities, adapted for instruction-following scenarios.