ArliAI-RPMax-12B-v1.1

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Overview

This repository is based on the Mistral-Nemo-Base-2407 model and is governed by the Apache 2.0 License agreement: https://huggingface.co/mistralai/Mistral-Nemo-Base-2407

Model Description

ArliAI-RPMax-12B-v1.1 is 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.

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 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/ArliAI-RPMax-12B-v1.1
GGUF: https://huggingface.co/ArliAI/ArliAI-RPMax-12B-v1.1-GGUF

Suggested Prompt Format

Mistral Instruct Prompt Format