Update README.md

README.md

@@ -1,22 +1,50 @@
-*“Awaken the observer. Collapse your infinite potential into your lived reality.”*
-
 ---
+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
-- seqeval
-- accuracy
-- character
+- 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")
@@ -25,4 +53,4 @@ 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'])
+print(response[0]['generated_text'])