Update README.md

README.md

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 This model was converted to GGUF format from [`ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2`](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2) for more details on the model.
 
+---
+Model details:
+-
+Llama-3.1-8B-ArliAI-RPMax-v1.2
+
+=====================================
+
+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-v1.2 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.
+Specs
+
+    Context Length: 128K
+    Parameters: 8B
+
+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
+    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|>
+
+---
 ## Use with llama.cpp
 Install llama.cpp through brew (works on Mac and Linux)