Llama-3.3+(3.1v3.3)-70B-ArliAI-RPMax-v1.2

Creative Model

View on Hugging FaceBack to Models

Hourly Usage

Performance Metrics

Avg. Total Time

18.77s

Avg. TTFT

5.42s

Avg. Prefill TPS

2459.32

Avg. Gen TPS

12.71

Model Information

Context Size

32768

Quantization

r64

Engine

aphrodite

Creation Method

LoRA Finetune

Model Type

Llama70B

Chat Template

Llama 3

Reasoning

No

Vision

No

Parameters

70B

Added At

12/23/2024


license: llama3.1

Llama-3.1-70B-ArliAI-RPMax-v1.2

=====================================

RPMax Series Overview

| 2B | 3.8B | 8B | 9B | 12B | 20B | 22B | 70B |

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-3.1-70B-ArliAI-RPMax-v1.2 is a variant made from the Meta-Llama-3.1-70B-Instruct model.

Let us know what you think of the model! The 8B and 12B versions of RPMax had great feedback from users, so we expect this 70B version to one of the best RP models.

v1.2 update completely removes non-creative/RP examples in the dataset and is also 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: 70B

Training Details

  • Sequence Length: 4096
  • Training Duration: Approximately 5 days 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:

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|>