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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# ArliAI-RPMax-12B-v1.2
+=====================================
+
+## 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-v1.2) | 
+[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |
+[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2) | 
+[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 model 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/MedJbtdd
+
+## Model Description
+
+ArliAI-RPMax-12B-v1.2 is a variant based on Mistral Nemo 12B Instruct 2407.
+
+This is arguably the most successful RPMax model due to how Mistral is already very uncensored in the first place.
+
+v1.2 update is a retrain using an incremental improvement of the RPMax dataset which dedups the dataset even more and better filtering to cutout irrelevant description text that came from card sharing sites.
+
+### Training Details
+
+* **Sequence Length**: 8192
+* **Training Duration**: Approximately 2 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.
+
+## Quantization
+
+The model is available in quantized formats:
+
+* **FP16**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
+* **GPTQ_Q4**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2-GPTQ_Q4
+* **GPTQ_Q8**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2-GPTQ_Q8
+* **GGUF**: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2-GGUF
+
+
+## Suggested Prompt Format
+
+Mistral Instruct Prompt Format