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README.md
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More information about making the model available here: [Don't stop DPOptimizing!](https://www.linkedin.com/pulse/dont-stop-dpoptimizing-jan-koco%2525C5%252584-mq4qf)
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The "Neuronovo/neuronovo-7B-v0.2" model represents an advanced and fine-tuned version of a large language model, initially based on "CultriX/MistralTrix-v1." Several key characteristics and features of this model:
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1. **Training Dataset**: The model is trained on a dataset named "Intel/orca_dpo_pairs," likely specialized for dialogue and interaction scenarios. This dataset is formatted to differentiate between system messages, user queries, chosen and rejected answers, indicating a focus on natural language understanding and response generation in conversational contexts.
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In summary, "Neuronovo/neuronovo-7B-v0.2" is a highly specialized, efficient, and capable large language model, fine-tuned for complex language generation tasks in conversational AI, leveraging state-of-the-art techniques in model adaptation and efficient training methodologies.
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Author: Jan Kocoń [LinkedIn](https://www.linkedin.com/in/jankocon/) [Google Scholar](https://scholar.google.com/citations?user=pmQHb5IAAAAJ&hl=en&oi=ao)
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More information about making the model available here: [Don't stop DPOptimizing!](https://www.linkedin.com/pulse/dont-stop-dpoptimizing-jan-koco%2525C5%252584-mq4qf)
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Author: Jan Kocoń [LinkedIn](https://www.linkedin.com/in/jankocon/) [Google Scholar](https://scholar.google.com/citations?user=pmQHb5IAAAAJ&hl=en&oi=ao) [ResearchGate](https://www.researchgate.net/profile/Jan-Kocon-2)
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The "Neuronovo/neuronovo-7B-v0.2" model represents an advanced and fine-tuned version of a large language model, initially based on "CultriX/MistralTrix-v1." Several key characteristics and features of this model:
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1. **Training Dataset**: The model is trained on a dataset named "Intel/orca_dpo_pairs," likely specialized for dialogue and interaction scenarios. This dataset is formatted to differentiate between system messages, user queries, chosen and rejected answers, indicating a focus on natural language understanding and response generation in conversational contexts.
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In summary, "Neuronovo/neuronovo-7B-v0.2" is a highly specialized, efficient, and capable large language model, fine-tuned for complex language generation tasks in conversational AI, leveraging state-of-the-art techniques in model adaptation and efficient training methodologies.
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