--- license: llama3.1 --- I have no idea what I’m doing… if this causes the apocalypse someone please let me know. Llama-3.1-8B-ArliAI-RPMax-v1.1 8.0bpw h8 EXL2 Includes [measurement.json](https://huggingface.co/FuturisticVibes/Llama-3.1-8B-ArliAI-RPMax-v1.1-8.0bpw-h8-exl2/tree/measurement) file for further quantization Original Model: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 # Original Model Card # Llama-3.1-8B-ArliAI-RPMax-v1.1 ===================================== ## Overview This repository is based on the Meta-Llama-3.1-8B-Instruct model and is governed by the Meta Llama 3.1 License agreement: https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct ## Model Description Llama-3.1-8B-ArliAI-RPMax-v1.1 is a variant of the Meta-Llama-3.1-8B model, trained on a diverse set of curated RP datasets with a focus on variety and deduplication. This model is designed to be highly creative and non-repetitive, with a unique approach to training that minimizes repetition. v1.1 is just a small fix to not train and save the embeddings layer, since v1.0 had the lm_head unnecessarily trained on accident. You can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/ ### 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: * **FP16**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 * **GGUF**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1-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|> ```