The mlaprise/boustrophedon-14b is a 14.8 billion parameter causal language model developed by mlaprise, fine-tuned from jpacifico/Chocolatine-2-14B-Instruct-v2.0.3. This model is designed for general instruction-following tasks, leveraging its substantial parameter count and a 32768 token context length for robust performance. It is suitable for a wide range of natural language processing applications requiring comprehensive understanding and generation.
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Model Overview
The mlaprise/boustrophedon-14b is a 14.8 billion parameter instruction-tuned language model developed by mlaprise. It is built upon the jpacifico/Chocolatine-2-14B-Instruct-v2.0.3 base model, inheriting its foundational capabilities and further refining them for instruction-following tasks. With a substantial context length of 32768 tokens, this model is equipped to handle complex prompts and generate coherent, contextually relevant responses over extended interactions.
Key Capabilities
- Instruction Following: Designed to accurately interpret and execute a wide variety of user instructions.
- Extended Context Understanding: Benefits from a 32768 token context window, allowing for processing and generating longer texts while maintaining coherence.
- General Purpose NLP: Suitable for diverse natural language processing tasks due to its large parameter count and fine-tuning.
Good For
- Applications requiring robust instruction adherence.
- Tasks involving long-form content generation or summarization.
- General conversational AI and text-based automation.