Create README.md

README.md

@@ -0,0 +1,47 @@
+---
+license: other
+license_name: mrl
+license_link: https://mistral.ai/licenses/MRL-0.1.md
+extra_gated_description: If you want to learn more about how we process your personal
+  data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
+---
+# Mistral-Small-22B-ArliAI-RPMax-v1.1
+=====================================
+
+## RPMax Series Overview
+
+| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |
+[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) | 
+[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) | 
+[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |
+[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) | 
+[20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) | 
+[22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) | 
+[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) | 
+
+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.
+
+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.
+
+You can access the models at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/
+
+We also have a models ranking page at https://www.arliai.com/models-ranking
+
+Ask questions in our new Discord Server! https://discord.gg/aDVx6FZN
+
+## Model Description
+
+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.
+
+### Training Details
+
+* **Sequence Length**: 8192
+* **Training Duration**: Approximately 4 days on 2x3090Ti
+* **Epochs**: 1 epoch training for minimized repetition sickness
+* **QLORA**: 64-rank 128-alpha, resulting in ~2% trainable weights
+* **Learning Rate**: 0.00001
+* **Gradient accumulation**: Very low 32 for better learning.
+
+## Suggested Prompt Format
+
+Mistral Instruct Format