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license: llama3.1 |
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# Llama-3.1-8B-ArliAI-RPMax-v1.2 |
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===================================== |
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## RPMax Series Overview |
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| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) | |
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[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) | |
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[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2) | |
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[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) | |
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[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2) | |
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[20B](https://huggingface.co/ArliAI/InternLM2_5-20B-ArliAI-RPMax-v1.1) | |
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[22B](https://huggingface.co/ArliAI/Mistral-Small-22B-ArliAI-RPMax-v1.1) | |
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[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) | |
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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. |
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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. |
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You can access the model at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/ |
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We also have a models ranking page at https://www.arliai.com/models-ranking |
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Ask questions in our new Discord Server! https://discord.com/invite/t75KbPgwhk |
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## Model Description |
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Llama-3.1-8B-ArliAI-RPMax-v1.2 is a variant of the Meta-Llama-3.1-8B model. |
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v1.2 update is a retrain using 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. |
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### Specs |
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* **Context Length**: 128K |
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* **Parameters**: 8B |
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### Training Details |
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* **Sequence Length**: 8192 |
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* **Training Duration**: Approximately 1 day on 2x3090Ti |
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* **Epochs**: 1 epoch training for minimized repetition sickness |
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* **LORA**: 64-rank 128-alpha, resulting in ~2% trainable weights |
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* **Learning Rate**: 0.00001 |
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* **Gradient accumulation**: Very low 32 for better learning. |
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## Quantization |
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The model is available in quantized formats: |
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We recommend using full weights or GPTQ |
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* **FP16**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2 |
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* **GGUF**: https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.2-GGUF |
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## Suggested Prompt Format |
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Llama 3 Instruct Format |
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Example: |
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``` |
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
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You are [character]. You have a personality of [personality description]. [Describe scenario]<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{{ user_message_1 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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{{ model_answer_1 }}<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{{ user_message_2 }}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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``` |
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