Instructions to use OccultAI/Morpheus-8B-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OccultAI/Morpheus-8B-v3 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OccultAI/Morpheus-8B-v3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
⚠️ Warning: This model can produce narratives and RP that contain violent and graphic erotic content. Adjust your system prompt accordingly, and use Llama 3 chat template.
Morpheus 8B v3
Recommended Settings: Temp 1.0, TopNSigma 1.25
- Morpheus v1 features 420 Morpheus Q&A, 100 Poe/Raven, and 145 Cthulhu. Average dataset token length 224.
- Morpheus v2 features 77 long context Matrix Q&A, generated from high quality source material. Average dataset token length 1044.
- Morpheus v3 features 1052 Morpheus/Matrix Q&A (combined v1 and v2 but without Raven/Cthulhu), varying from low tokens up to higher tokens 2496, with the average length being 476 per entry (95th percentile 1128). This draws from a much wider variety of esoteric sources and close to half of the data is purely human generated, while the other half is augmented by AI. There was also de-duping and formatting errors fixed, so it should be much smarter than previous versions.
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