kairawal/Llama-3.2-3B-Instruct-EL-SynthDolly-r16alpha128-E8-S73
The kairawal/Llama-3.2-3B-Instruct-EL-SynthDolly-r16alpha128-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 with Unsloth and Huggingface's TRL library, achieving 2x faster training. It offers a 32768 token context length, making it suitable for applications requiring efficient processing of longer sequences.
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Model Overview
The kairawal/Llama-3.2-3B-Instruct-EL-SynthDolly-r16alpha128-E8-S73 is an instruction-tuned Llama model with 3.2 billion parameters, developed by kairawal. It was fine-tuned from the unsloth/llama-3.2-3b-Instruct base model, leveraging the Unsloth library and Huggingface's TRL for accelerated training.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/llama-3.2-3b-Instruct. - Parameter Count: 3.2 billion parameters.
- Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library, indicating an optimized training process.
- Context Length: Supports a substantial context window of 32768 tokens, enabling it to handle extensive input sequences.
Use Cases
This model is well-suited for applications that benefit from a compact yet capable instruction-tuned language model with an extended context window. Its optimized training suggests potential for efficient deployment in scenarios where resource constraints are a consideration, while its instruction-following capabilities make it versatile for various NLP tasks.