metadata
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
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'])