quantfactory/gemma-2-2b-arliai-rpmax-v1.1-gguf overview

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  "card_data": {
    "license": "gemma",
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    "hero_image_url": "https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ",
    "summary": "This is quantized version of ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1 created using llama.cpp # Original Model Card # Gemma-2-2B-ArliAI-RPMax-v1.1 =====================================",
    "quick_links": [],
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    "readme_markdown": "\n---\n\nlicense: gemma\n\n---\n\n[![QuantFactory Banner](https://lh7-rt.googleusercontent.com/docsz/AD_4nXeiuCm7c8lEwEJuRey9kiVZsRn2W-b4pWlu3-X534V3YmVuVc2ZL-NXg2RkzSOOS2JXGHutDuyyNAUtdJI65jGTo8jT9Y99tMi4H4MqL44Uc5QKG77B0d6-JfIkZHFaUA71-RtjyYZWVIhqsNZcx8-OMaA?key=xt3VSDoCbmTY7o-cwwOFwQ)](https://hf.co/QuantFactory)\n\n\n# QuantFactory/Gemma-2-2B-ArliAI-RPMax-v1.1-GGUF\nThis is quantized version of [ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) created using llama.cpp\n\n# Original Model Card\n\n# Gemma-2-2B-ArliAI-RPMax-v1.1\n=====================================\n\n## RPMax Series Overview\n\n| [2B](https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1) |\n[3.8B](https://huggingface.co/ArliAI/Phi-3.5-mini-3.8B-ArliAI-RPMax-v1.1) | \n[8B](https://huggingface.co/ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1) | \n[9B](https://huggingface.co/ArliAI/Gemma-2-9B-ArliAI-RPMax-v1.1) |\n[12B](https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1) | \n[20B](https://huggingface.co/ArliAI/InternLM_2_5-20B-ArliAI-RPMax-v1.1) | \n[70B](https://huggingface.co/ArliAI/Llama-3.1-70B-ArliAI-RPMax-v1.1) | \n\nRPMax 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.\n\nEarly 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.\n\nYou can access the models at https://arliai.com and ask questions at https://www.reddit.com/r/ArliAI/\n\nWe also have a models ranking page at https://www.arliai.com/models-ranking\n\nAsk questions in our new Discord Server! https://discord.gg/aDVx6FZN\n\n## Model Description\n\nGemma-2-2B-ArliAI-RPMax-v1.1 is a variant based on gemma-22b-it.\n\n### Training Details\n\n* **Sequence Length**: 4096\n* **Training Duration**: Approximately less than 1 day on 2x3090Ti\n* **Epochs**: 1 epoch training for minimized repetition sickness\n* **QLORA**: 64-rank 128-alpha, resulting in ~2% trainable weights\n* **Learning Rate**: 0.00001\n* **Gradient accumulation**: Very low 32 for better learning.\n\n## Quantization\n\nThe model is available in quantized formats:\n\n* **FP16**: https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1\n* **GPTQ_Q4**: https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1-GPTQ_Q4\n* **GPTQ_Q8**: https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1-GPTQ_Q8\n* **GGUF**: https://huggingface.co/ArliAI/Gemma-2-2B-ArliAI-RPMax-v1.1-GGUF\n\n\n## Suggested Prompt Format\n\nGemma Instruct Prompt Format\n\nSince Gemma does not have system prompts, put the character descriptions in the first turn like on Mistral models.\n\nIt is trained with ```<instructions>``` and ```<end_of_instructions>``` that enclose the system prompt in the first user message.\n\n```\n<bos><start_of_turn>user\n<instructions>You are a (character description)<end_of_instructions>\\n\\nHello!<end_of_turn>\n<start_of_turn>model\n```\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 2,
  "downloads": 773,
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  "last_modified": "2024-09-23T15:46:54.000Z",
  "created_at": "2024-09-23T15:33:17.000Z",
  "pipeline_tag": "",
  "library_name": ""
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