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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6251b9851842c08ef3111c4f/NtCV4dSUaHb7XnMYrm1iF.png)
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### This repository contains quantized conversions of the AI Dungeon 2 checkpoint, "model_v5".
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*For use with frontends that support GGML quantized GPT-2 models.*
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*Last updated on 2023-09-23.*
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aid2classic-ggml-f16.bin | 3.2 GiB | 3.6 GiB
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**Description:**
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2020-2021 AI Dungeon users may recognize this model as "Classic", the free tier below Griffin (free, but later used "energy") and Dragon (subscription).
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If you want a better model trained on the same dataset at the cost of higher hardware requirements, check out [Spring Dragon 13B](https://huggingface.co/TheBloke/Spring-Dragon-GGUF), intended to replicate 2020 AI Dungeon's "Dragon" experience on local hardware.
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**Notes:**
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- KoboldCpp [[bfc696f]](https://github.com/LostRuins/koboldcpp/tree/bfc696fcc452975dbe8967c39301ba856d04a030) was tested without OpenBLAS.
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6251b9851842c08ef3111c4f/NtCV4dSUaHb7XnMYrm1iF.png)
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### This repository contains quantized conversions of the AI Dungeon 2 checkpoint, "model_v5".
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*For use with frontends that support GGML quantized GPT-2 models. This model works best with KoboldCpp's "Adventure" mode.*
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*Last updated on 2023-09-23.*
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aid2classic-ggml-f16.bin | 3.2 GiB | 3.6 GiB
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**Description:**
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- 2019 AI Dungeon users may recognize this model as the same one that powered [the open-source AI Dungeon 2 project](https://github.com/Latitude-Archives/AIDungeon) and its various forks. This was before AI Dungeon 2 moved to its own website and consequently rebranded to "AI Dungeon".
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- 2020-2021 AI Dungeon users may recognize this model as "Classic", the free tier below Griffin (free, but later used "energy") and Dragon (subscription).
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- If you want a better model trained on the same dataset at the cost of higher hardware requirements, check out [Spring Dragon 13B](https://huggingface.co/TheBloke/Spring-Dragon-GGUF), intended to replicate 2020 AI Dungeon's "Dragon" experience on local hardware.
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**Notes:**
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- KoboldCpp [[bfc696f]](https://github.com/LostRuins/koboldcpp/tree/bfc696fcc452975dbe8967c39301ba856d04a030) was tested without OpenBLAS.
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