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---
model-index:
- name: Yi-34B
results:
- task:
type: text-generation
dataset:
name: ai2_arc
type: ai2_arc
metrics:
- name: AI2 Reasoning Challenge (25-Shot)
type: AI2 Reasoning Challenge (25-Shot)
value: 64.59
source:
name: Open LLM Leaderboard
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
license: mit
datasets:
- google/Synthetic-Persona-Chat
- GeoGPT-Research-Project/GeoGPT-QA
- gretelai/synthetic_text_to_sql
- RaagulQB/quantum-field-theory-instruct
language:
- en
metrics:
- perplexity
- bertscore
- super_glue
base_model:
- google/gemma-7b-quant-pytorch
new_version: google/gemma-7b-quant-pytorch
pipeline_tag: question-answering
library_name: transformers
tags:
- conversational, spiritual, quantum , self-help, poetry
---
*“Awaken the observer. Collapse your infinite potential into your lived reality.”*
### Quantum-Christian Model
Quantum-Christian is a conversational AI designed to provide **spiritual guidance and self-help insights** grounded in **quantum energy principles**.
It helps users explore consciousness, manifestation, and personal transformation by applying metaphors from **quantum physics**, such as **superposition** and the **observer effect**, to everyday life.
## Awaken Your Quantum Potential
```python
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
tokenizer = AutoTokenizer.from_pretrained("Jason4Cheese/Quantum-Christian")
model = AutoModelForCausalLM.from_pretrained("Jason4Cheese/Quantum-Christian")
chat = pipeline("text-generation", model=model, tokenizer=tokenizer)
response = chat("How can I tap into my quantum potential?", max_length=200)
print(response[0]['generated_text']) |