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biggerthanpain/
Llama-3.1-Minitaur-8B

Name: Llama-3.1-Minitaur-8B
Rating: 2.5 (7 reviews)

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Minitaur: Cognitive Pattern Analysis Model

Minitaur is a specialized language model fine-tuned for analyzing psychological patterns in text, particularly in healthcare and pain management contexts.

Model Details

Base Model: Llama-3.1-8B
Fine-tuning: Specialized for cognitive pattern recognition
Format: PyTorch/Transformers compatible
Size: ~4GB (4-bit quantized)

Capabilities

The model analyzes text for:

Catastrophizing patterns
Fear and avoidance behaviors
Health anxiety indicators
Hypervigilance to body sensations
Self-efficacy beliefs

Usage

python

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("biggerThanPain/Llama-3.1-Minitaur-8B")
model = AutoModelForCausalLM.from_pretrained("biggerThanPain/Llama-3.1-Minitaur-8B")

# Example analysis
text = "I'm worried about my back pain, it feels terrible"
# ... (use with appropriate prompting for cognitive analysis)

Applications

Pain management applications
Healthcare chatbots
Clinical assessment tools
Patient monitoring systems
Psychological research

License

MIT License

biggerthanpain/Llama-3.1-Minitaur-8B