---
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'])