EXL2 Quants
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Exl2 quants of other people's models
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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
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