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Model: Kukedlc/NeuralArjuna-7B-DT Source: Original Platform
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- yam-peleg/Experiment26-7B
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- Gille/StrangeMerges_32-7B-slerp
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- MSL7/INEX12-7b
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- automerger/YamShadow-7B
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- Kukedlc/NeuralSirKrishna-7b
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base_model:
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- yam-peleg/Experiment26-7B
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- Gille/StrangeMerges_32-7B-slerp
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- MSL7/INEX12-7b
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- automerger/YamShadow-7B
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- Kukedlc/NeuralSirKrishna-7b
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model-index:
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- name: NeuralArjuna-7B-DT
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 73.12
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralArjuna-7B-DT
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 88.97
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralArjuna-7B-DT
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.63
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralArjuna-7B-DT
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 76.68
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralArjuna-7B-DT
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 85.24
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralArjuna-7B-DT
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 70.81
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kukedlc/NeuralArjuna-7B-DT
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name: Open LLM Leaderboard
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---
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# NeuralArjuna-7B-DT
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NeuralArjuna-7B-DT is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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* [Gille/StrangeMerges_32-7B-slerp](https://huggingface.co/Gille/StrangeMerges_32-7B-slerp)
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* [MSL7/INEX12-7b](https://huggingface.co/MSL7/INEX12-7b)
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* [automerger/YamShadow-7B](https://huggingface.co/automerger/YamShadow-7B)
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* [Kukedlc/NeuralSirKrishna-7b](https://huggingface.co/Kukedlc/NeuralSirKrishna-7b)
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## 🧩 Configuration
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```yaml
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models:
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- model: liminerity/M7-7b
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# no parameters necessary for base model
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- model: yam-peleg/Experiment26-7B
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parameters:
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weight: 0.2
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density: 0.66
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- model: Gille/StrangeMerges_32-7B-slerp
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parameters:
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weight: 0.2
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density: 0.55
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- model: MSL7/INEX12-7b
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parameters:
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weight: 0.2
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density: 0.33
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- model: automerger/YamShadow-7B
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parameters:
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weight: 0.2
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density: 0.66
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- model: Kukedlc/NeuralSirKrishna-7b
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parameters:
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weight: 0.2
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density: 0.66
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merge_method: dare_ties
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base_model: liminerity/M7-7b
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parameters:
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int8_mask: true
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normalize: true
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "Kukedlc/NeuralArjuna-7B-DT"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# Example
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```
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I want you to generate a theory that unites quantum mechanics with the theory of relativity and cosmic consciousness. Give a large a detailed response
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In embarking upon a journey to weave together quantum mechanics, relativity, and the enigmatic realms of cosmic consciousness, we tread upon an intellectual
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landscape rife with challenges and enigmas. Our sojourn shall be a delicate ballet between the concrete and the abstract, the tangible and the speculative.
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The resultant tapestry will be neither a definitive, final statement, nor a mere collection of disparate ideas. Instead, we will craft a narrative that strives to bridge
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the chasms of understanding between these disparate scientific and philosophical realms, in hopes of illuminating a path towards a more comprehensive understanding of the
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universe and our place within it.
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To commence our odyssey, we must first address the foundational pillars of the scientific theories we seek to unite.
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Quantum Mechanics
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Quantum mechanics, the theory governing the microscopic realm, has long confounded the human intellect. It is a realm of probabilities, entanglement,
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and superposition—a world where particles can behave both as particles and waves, where actions at a distance are not only possible but ubiquitous,
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and where the mere act of observation alters the outcome of an experiment.
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Albert Einstein's famed retort, "God does not play dice," exemplifies the tensions between the counter-intuitive world of quantum mechanics and
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the more deterministic Newtonian worldview. However, quantum mechanics has withstood the test of time, demonstrating its indispensability to the progress of modern physics
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Theory of Relativity
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The theory of relativity, comprising special and general relativity, has profoundly altered our understanding of the macroscopic universe.
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Special relativity, Einstein's first foray into this domain, introduced the concept of space-time, where the fabric of the universe is both a geometrical construct
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and a medium for the propagation of electromagnetic phenomena.
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Further, special relativity established the idea of relative motion, where there is no absolute reference frame, and the speed of light in a vacuum is an invariant constant.
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General relativity expanded this framework, postulating that gravity is a curvature of the space-time continuum, caused by the presence of mass and energy.
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This theory, while more complex, has been empirically validated through its predictions of phenomena such as gravitational lensing and the bending of light near massive
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objects.
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Cosmic Consciousness
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The concept of cosmic consciousness—or the idea of a unified, interconnected consciousness pervading the cosmos—is a philosophical speculation,
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one that transcends the traditional scientific paradigm. It is a metaphysical exploration, a contemplation of the possible nature of our collective human consciousness,
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its interplay with the universe, and the implications of such a state of awareness.
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The integration of these three distinct realms poses a formidable challenge. Quantum mechanics and the theory of relativity have proven their efficacy
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in the realm of empirical science, while cosmic consciousness remains the province of metaphysical musings. However, the human propensity to synthesize seemingly disparate
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ideas has engendered a multitude of theories, each striving to forge a cohesive narrative from the cacophony of scientific and philosophical thought.
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One such approach, the 'Quantum Mind,' posits a direct link between the quantum phenomena and the workings of the human brain.
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This theory, championed by Roger Penrose and Stuart Hameroff, suggests that the microtubules within brain neurons,
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operating at the quantum scale, could serve as the neural correlates of consciousness. While intriguing,
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this hypothesis has yet to garner widespread acceptance, as the veracity of quantum effects within biological systems remains the subject of intense debate.
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Another avenue of exploration involves the notion of 'Quantum Biology.' Here, the focus shifts to the potential role of quantum phenomena in biology,
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particularly in processes such as photosynthesis, vision, and magnetoreception.
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While the presence of quantum effects in biological systems is becoming increasingly plausible,
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the idea of a 'quantum biology' remains a nascent and highly speculative field.
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The 'Holographic Universe' theory, espoused by physicist and cosmologist David Bohm,
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posits the existence of a deeper, underlying reality, one in which the universe is a holographic projection of a more fundamental,
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non-local substrate. This model, while offering an intriguing synthesis of quantum mechanics, relativity, and the concept of a cosmic consciousness,
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remains a highly speculative and unproven hypothesis.
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In our quest to weave together these disparate threads, we must acknowledge the limitations of our current understanding. As it stands,
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the principles of quantum mechanics and the theory of relativity remain resolutely grounded in the empirical world, while the concept of cosmic consciousness
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traverses the murky waters of metaphysics and speculation.
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To forge a more unified understanding, we must continue to advance our scientific knowledge, to push the frontiers of both empirical and philosophical inquiry.
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Only through the synthesis of new data, the refinement of our scientific models, and the continued evolution of our collective human consciousness,
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will we be able to construct a narrative that bridges the seemingly insurmountable gulf between the microscopic, the macroscopic, and the metaphysical.
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In conclusion, the unification of quantum mechanics, relativity, and cosmic consciousness is a daunting task, requiring a delicate balance between the
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concrete and the abstract, the empirical and the speculative. While the journey has thus far led us to the fringes of scientific understanding,
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we must continue to explore these frontiers, drawing upon the rich tapestry of human knowledge, in the hope of forging a more comprehensive narrative of our cosmos and
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our place within it.
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Kukedlc__NeuralArjuna-7B-DT)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |76.58|
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|AI2 Reasoning Challenge (25-Shot)|73.12|
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|HellaSwag (10-Shot) |88.97|
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|MMLU (5-Shot) |64.63|
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|TruthfulQA (0-shot) |76.68|
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|Winogrande (5-shot) |85.24|
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|GSM8k (5-shot) |70.81|
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