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README.md
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## Quantization
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Please note that we tested this model with a
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#### LlamaCPP
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TODO!
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## Sampling Settings
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Here are some settings that work well with this model:
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## Credit
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Thank you to my team consisting of [@
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Additional thanks to [@AlpinDale](https://huggingface.co/AlpinDale) and the rest of the PygmalionAI team for graciously providing the compute to finetune this model!
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Thank you to [anthracite-org](https://huggingface.co/anthracite-org) as well for sponsoring this model.
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## Additional Details
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If you have any questions or concerns, please post in the community tab.
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DISCLAIMER: Outputs generated by the model are not reflective of our views.
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## Quantization
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Please note that we tested this model with a 5.0bpw EXL2 quant. Results are not expected to be the same when going below this quanitzation.
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#### LlamaCPP
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TODO!
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## Sampling Settings
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Here are some settings that work well with this model:
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Coming soon
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## Credit
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Thank you to my team consisting of [@ToastyPigeon](https://huggingface.co/ToastyPigeon), [@Fizzarolli](https://huggingface.co/Fizzarolli), and myself [@elinas](https://huggingface.co/elinas).
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Additional thanks to [@AlpinDale](https://huggingface.co/AlpinDale) and the rest of the PygmalionAI team for graciously providing the compute to finetune this model!
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Thank you to [anthracite-org](https://huggingface.co/anthracite-org) as well for sponsoring this model.
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## Additional Details
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We used a combination of provided logs and WizardLM evol both cleaned up and de-slopped.
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Thanks to Anthropic and OpenAI for the models used to generate synthetic and partially synthetic data to train this model.
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Thanks Elon Musk for being based enough to train AI that compares to the top models.
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If you have any questions or concerns, please post in the community tab.
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DISCLAIMER: Outputs generated by the model are not reflective of our views.
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