Llama-3.1-8B-ArliAI-RPMax-v1.1-8.0bpw-h8-exl2

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 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

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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|>