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- ---
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- license: gemma
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: gemma
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+ ---
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+ # Gemma-2-9B-ArliAI-RPMax-v1.1
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+ =====================================
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+
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+ ## RPMax Series Overview
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+
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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-v1.1) |
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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-v1.1) |
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+ [20B](https://huggingface.co/ArliAI/InternLM_2_5-20B-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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+
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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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+
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+ You can access the models 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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+
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+ Ask questions in our new Discord Server! https://discord.gg/aDVx6FZN
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+
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+ ## Model Description
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+
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+ Gemma-2-9B-ArliAI-RPMax-v1.1 is a variant based on gemma-2-9b-it.
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+
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+ ### Training Details
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+
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+ * **Sequence Length**: 4096
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+ * **Training Duration**: Approximately 2 days on 2x3090Ti
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+ * **Epochs**: 1 epoch training for minimized repetition sickness
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+ * **QLORA**: 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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+
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+ ## Quantization
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+
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+ The model is available in quantized formats:
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+
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+ * **FP16**: https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1
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+ * **GPTQ_Q4**: https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1-GPTQ_Q4
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+ * **GPTQ_Q8**: https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1-GPTQ_Q8
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+ * **GGUF**: https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1-GGUF
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+
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+ ## Suggested Prompt Format
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+ Gemma Instruct Prompt Format
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+ Since Gemma does not have system prompts, put the character descriptions in the first turn like on Mistral models.
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+ It is trained with ```<instructions>``` and ```<end_of_instructions>``` that enclose the system prompt in the first user message.
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+ ```
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+ <bos><start_of_turn>user
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+ <instructions>You are a (character description)<end_of_instructions>\n\nHello!<end_of_turn>
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+ <start_of_turn>model
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+ ```