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README.md
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---
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base_model: Nexusflow/NexusRaven-V2-13B
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inference: false
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license:
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model-index:
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- name: NexusRaven-13B
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results: []
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```
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<!-- prompt-template end -->
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<!-- README_GPTQ.md-compatible clients start -->
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## Known compatible clients / servers
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### Quick Start Prompting Guide
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Please refer to our notebook, [How-To-Prompt.ipynb](
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1. We strongly recommend to set sampling to False when prompting NexusRaven-V2.
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2. We strongly recommend a very low temperature (~0.001).
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3. The explanations generated by NexusRaven-V2 might be incorrect. Please ensure proper guardrails are present to capture errant behavior.
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## License
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This model was trained on commercially viable data and is licensed under the [
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## References
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---
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base_model: Nexusflow/NexusRaven-V2-13B
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inference: false
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license: other
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model-index:
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- name: NexusRaven-13B
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results: []
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```
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<!-- prompt-template end -->
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<!-- licensing start -->
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## Licensing
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The creator of the source model has listed its license as `other`, and this quantization has therefore used that same license.
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As this model is based on Llama 2, it is also subject to the Meta Llama 2 license terms, and the license files for that are additionally included. It should therefore be considered as being claimed to be licensed under both licenses. I contacted Hugging Face for clarification on dual licensing but they do not yet have an official position. Should this change, or should Meta provide any feedback on this situation, I will update this section accordingly.
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In the meantime, any questions regarding licensing, and in particular how these two licenses might interact, should be directed to the original model repository: [Nexusflow's NexusRaven V2 13B](https://huggingface.co/Nexusflow/NexusRaven-V2-13B).
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<!-- licensing end -->
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<!-- README_GPTQ.md-compatible clients start -->
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## Known compatible clients / servers
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### Quick Start Prompting Guide
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Please refer to our notebook, [How-To-Prompt.ipynb](https://colab.research.google.com/drive/19JYixRPPlanmW5q49WYi_tU8rhHeCEKW?usp=sharing), for more advanced tutorials on using NexusRaven-V2!
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1. We strongly recommend to set sampling to False when prompting NexusRaven-V2.
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2. We strongly recommend a very low temperature (~0.001).
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3. The explanations generated by NexusRaven-V2 might be incorrect. Please ensure proper guardrails are present to capture errant behavior.
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## License
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This model was trained on commercially viable data and is licensed under the [Nexusflow community license](https://huggingface.co/Nexusflow/NexusRaven-V2-13B/blob/main/LICENSE.txt).
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## References
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