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README.md
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---
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license: other
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license_name: mrl
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license_link: https://mistral.ai/licenses/MRL-0.1.md
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extra_gated_description: If you want to learn more about how we process your personal
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data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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---
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# Mistral-Small-22B-ArliAI-RPMax-v1.1
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=====================================
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## RPMax Series Overview
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| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |
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[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) |
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[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) |
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[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |
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[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) |
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[20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) |
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[22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) |
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[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) |
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RPMax is a series of models that are trained on a diverse set of curated creative writing and RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive by making sure no two entries in the dataset have repeated characters or situations, which makes sure the model does not latch on to a certain personality and be capable of understanding and acting appropriately to any characters or situations.
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Early tests by users mentioned that these models does not feel like any other RP models, having a different style and generally doesn't feel in-bred.
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You can access the models at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/
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We also have a models ranking page at https://www.arliai.com/models-ranking
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Ask questions in our new Discord Server! https://discord.gg/aDVx6FZN
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## Model Description
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Mistral-Small-22B-ArliAI-RPMax-v1.1 is a variant based on mistralai/Mistral-Small-Instruct-2409 which has a restrictive mistral license. So this is for your personal use only.
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### Training Details
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* **Sequence Length**: 8192
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* **Training Duration**: Approximately 4 days on 2x3090Ti
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* **Epochs**: 1 epoch training for minimized repetition sickness
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* **QLORA**: 64-rank 128-alpha, resulting in ~2% trainable weights
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* **Learning Rate**: 0.00001
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* **Gradient accumulation**: Very low 32 for better learning.
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## Suggested Prompt Format
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Mistral Instruct Format
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