Update README.md

README.md

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----
-license: llama3.1
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+---
+license: llama3.1
+---
+
+# Llama-3.1-8B-ArliAI-RPMax-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.com/invite/t75KbPgwhk
+
+## Model Description
+
+Llama-3.1-8B-ArliAI-RPMax-v1.1 is a variant of the Meta-Llama-3.1-8B model.
+
+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 1 day on 2x3090Ti
+* **Epochs**: 1 epoch training for minimized repetition sickness
+* **LORA**: 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:
+
+We recommend using full weights or GPTQ
+
+* **FP16**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2
+* **GPTQ_Q4**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2-GPTQ_Q4
+* **GPTQ_Q8**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2-GPTQ_Q8
+* **GGUF**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2-GGUF
+
+## Suggested Prompt Format
+
+Llama 3 Instruct Format
+
+Example:
+```
+<|begin_of_text|><|start_header_id|>system<|end_header_id|>
+
+You are [character]. You have a personality of [personality description]. [Describe scenario]<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+
+{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|>
+
+{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
+```