The baohao/SAGE_Llama-3.2-3B-Instruct is a 3.2 billion parameter instruction-tuned language model based on the Llama-3 architecture, developed by baohao. This model is designed for general instruction following, leveraging a 32768 token context length. Its training on specific SAGE datasets suggests an optimization for tasks related to the SAGE framework, making it suitable for applications requiring robust instruction adherence within that domain.
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baohao/SAGE_Llama-3.2-3B-Instruct Overview
The baohao/SAGE_Llama-3.2-3B-Instruct is a 3.2 billion parameter instruction-tuned model built upon the Llama-3 architecture. Developed by baohao, this model is distinguished by its training on specialized SAGE datasets, which include both a training set and a validation set. It supports a substantial context length of 32768 tokens, enabling it to process and generate longer sequences of text.
Key Capabilities
- Instruction Following: Optimized for understanding and executing a wide range of instructions.
- Extended Context: Benefits from a 32768-token context window, suitable for complex tasks requiring extensive input.
- SAGE Framework Integration: Specifically trained with datasets related to the SAGE framework, suggesting enhanced performance for tasks within that ecosystem.
Good For
- Applications requiring a compact yet capable instruction-tuned model.
- Use cases that can leverage its large context window for detailed interactions.
- Developers working within or exploring the SAGE framework, as indicated by its specialized training data and associated research paper and GitHub repository.