kairawal/Llama-3.2-1B-Instruct-DA-SynthDolly-1A-E1
The kairawal/Llama-3.2-1B-Instruct-DA-SynthDolly-1A-E1 is a 1 billion parameter instruction-tuned Llama 3.2 model developed by kairawal, fine-tuned from unsloth/llama-3.2-1b-Instruct. This model was trained using Unsloth and Huggingface's TRL library, enabling faster fine-tuning. With a context length of 32768 tokens, it is designed for general instruction-following tasks.
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Model Overview
The kairawal/Llama-3.2-1B-Instruct-DA-SynthDolly-1A-E1 is a 1 billion parameter instruction-tuned model based on the Llama 3.2 architecture. Developed by kairawal, this model was fine-tuned from unsloth/llama-3.2-1b-Instruct.
Key Characteristics
- Architecture: Llama 3.2
- Parameter Count: 1 billion parameters
- Context Length: Supports a substantial context window of 32768 tokens.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitates faster training.
Intended Use Cases
This model is suitable for a variety of general instruction-following applications, leveraging its instruction-tuned nature and efficient training methodology. Its 1 billion parameter size makes it a lightweight option for deployment where computational resources are a consideration, while its large context window allows for processing longer inputs.