kairawal/Llama-3.2-1B-Instruct-GA-SynthDolly-1A-E5
kairawal/Llama-3.2-1B-Instruct-GA-SynthDolly-1A-E5 is a 1 billion parameter instruction-tuned Llama model developed by kairawal, fine-tuned from unsloth/llama-3.2-1b-Instruct. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. With a 32768 token context length, it is optimized for efficient instruction-following tasks.
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Model Overview
kairawal/Llama-3.2-1B-Instruct-GA-SynthDolly-1A-E5 is a 1 billion parameter instruction-tuned language model developed by kairawal. It is fine-tuned from the unsloth/llama-3.2-1b-Instruct base model, leveraging the Unsloth library for accelerated training.
Key Characteristics
- Architecture: Llama 3.2 family, instruction-tuned variant.
- Parameter Count: 1 billion parameters, making it a compact yet capable model.
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in 2x faster fine-tuning compared to standard methods.
Use Cases
This model is suitable for applications requiring efficient instruction-following capabilities within a smaller parameter footprint. Its optimized training process suggests potential for rapid deployment and iteration in various NLP tasks where a 1B parameter model is sufficient.