kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-1A-E3
kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-1A-E3 is a 3.2 billion parameter instruction-tuned language model developed by kairawal, finetuned from unsloth/llama-3.2-3b-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for instruction-following tasks, leveraging its Llama-3.2 architecture and a 32768 token context length.
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Model Overview
kairawal/Llama-3.2-3B-Instruct-ES-SynthDolly-1A-E3 is an instruction-tuned language model with 3.2 billion parameters, developed by kairawal. It is based on the Llama-3.2 architecture and was finetuned from the unsloth/llama-3.2-3b-Instruct model. A notable aspect of its development is the use of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Architecture: Llama-3.2-3B-Instruct base model.
- Parameter Count: 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Leverages Unsloth for accelerated finetuning.
Intended Use Cases
This model is primarily suited for instruction-following tasks, benefiting from its instruction-tuned nature. Its efficient training methodology suggests it could be a good candidate for applications requiring a capable yet resource-conscious language model, particularly where rapid deployment or iterative finetuning is beneficial.