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