Text Generation
PEFT
English
spiritual-ai
astrology
vedic
numerology
sanjay-jumaani
mistral
lora
celestial
divine-ai
vastu
palmistry
tarot
speed-optimized
Instructions to use dp1812/celestial-mistral-7b-comprehensive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dp1812/celestial-mistral-7b-comprehensive with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
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fix: pin transformers stack and force slow tokenizer by default to avoid fast-tokenizer errors
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fix: pin transformers stack and force slow tokenizer by default to avoid fast-tokenizer errors
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fix: pin transformers stack and force slow tokenizer by default to avoid fast-tokenizer errors
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fix: pin transformers stack and force slow tokenizer by default to avoid fast-tokenizer errors
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fix: pin transformers stack and force slow tokenizer by default to avoid fast-tokenizer errors
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fix: pin transformers stack and force slow tokenizer by default to avoid fast-tokenizer errors
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PROPER MISTRAL 7B TRAINING: v0.3 with LoRA, proper chat format, no logging issues
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PRODUCTION TRAINING: 150 perfect conversations, no wandb issues, production-ready
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SIMPLE WORKING TRAINING: 45 perfect conversations, clean responses, no broken text - QUALITY OVER QUANTITY
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FINAL AUTHENTIC COMPREHENSIVE: Scripture-based divine personas + 2GB spiritual library integration + all functional features
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FINAL WARM FUNCTIONAL: Updated to use warm divine personas dataset - Personal, loving responses like "Dear child, just as I told Arjuna..."
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FINAL FUNCTIONAL: Updated to use complete functional dataset with ALL features having REAL FUNCTIONALITY
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CRITICAL FIX: Dynamic LoRA target module detection - resolves ValueError for different model architectures
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FINAL CLEAN: Comprehensive training notebook - 2925+ conversations, proper divine names, advanced numerology (no trademark names), all fixes applied
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UPDATE: Replace with CORRECT comprehensive training notebook - 2925+ conversations, proper divine names, advanced numerology, all fixes
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FINAL FIX: All training errors resolved - LoRA adapters properly attached to quantized model
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Update CELESTIAL_Training_Notebook.ipynb
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FIXED: Update training arguments - eval_strategy parameter compatibility issue resolved
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Add speed-optimized training notebook (45-90 min) with HF dataset integration
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