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RichardErkhov/LeroyDyer_-__Spydaz_Web_AI_BIBLE_002-gguf

sourceHugging Faceupdated 1y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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SpydazWebAIBIBLE_002 - GGUF

  • —Model creator: https://huggingface.co/LeroyDyer/
  • —Original model: https://huggingface.co/LeroyDyer/SpydazWebAIBIBLE_002/

Original model description: --- basemodel: LeroyDyer/SpydazWebAIBIBLE002 language:

  • —en license: apache-2.0 tags:
  • —text-generation-inference
  • —transformers
  • —unsloth
  • —mistral
  • —trl ---

the bible model :

this model has been fit ! for the bible ( king james ! ) it is very good at returning verse ! and chapter !

if the context was long enough it could recall the chapter !

I trained this model ofr creating timelines with the bible as well as having a bible inside my model to ask questions ! hence i over fit the bible to reduce hallucenations ! hence the exactness ! this also opened another task of recalling whole storys or articles and books : now the model is well trained for this recall task : once a book is semi fit its fit ! and can be recalled !

so NOW : it can take book training ! I also use this model for my merges ro keep the books aligned !

  • —Developed by: LeroyDyer
  • —License: apache-2.0
  • —Finetuned from model : LeroyDyer/SpydazWebAIChatQA001UFT

This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>