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- ---
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- base_model: SuperProff/Understanding-Intelligence-1
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- license: apache-2.0
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- tags:
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- - llama-cpp
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- - gguf-my-repo
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- ---
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- # SuperProff/Understanding-Intelligence-1-Q8_0-GGUF
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- This model was converted to GGUF format from [`SuperProff/Understanding-Intelligence-1`](https://huggingface.co/SuperProff/Understanding-Intelligence-1) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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- Refer to the [original model card](https://huggingface.co/SuperProff/Understanding-Intelligence-1) for more details on the model.
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- ## Use with llama.cpp
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- Install llama.cpp through brew (works on Mac and Linux)
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- ```bash
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- brew install llama.cpp
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- ```
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- Invoke the llama.cpp server or the CLI.
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- ### CLI:
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- ```bash
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- llama-cli --hf-repo SuperProff/Understanding-Intelligence-1-Q8_0-GGUF --hf-file understanding-intelligence-1-q8_0.gguf -p "The meaning to life and the universe is"
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- ```
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- ### Server:
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- ```bash
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- llama-server --hf-repo SuperProff/Understanding-Intelligence-1-Q8_0-GGUF --hf-file understanding-intelligence-1-q8_0.gguf -c 2048
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- ```
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- Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
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- Step 1: Clone llama.cpp from GitHub.
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- ```
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- git clone https://github.com/ggerganov/llama.cpp
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- ```
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- Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
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- ```
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- cd llama.cpp && LLAMA_CURL=1 make
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- ```
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- Step 3: Run inference through the main binary.
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- ```
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- ./llama-cli --hf-repo SuperProff/Understanding-Intelligence-1-Q8_0-GGUF --hf-file understanding-intelligence-1-q8_0.gguf -p "The meaning to life and the universe is"
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- ```
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- or
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- ```
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- ./llama-server --hf-repo SuperProff/Understanding-Intelligence-1-Q8_0-GGUF --hf-file understanding-intelligence-1-q8_0.gguf -c 2048
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - llama-cpp
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+ - gguf-my-repo
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+ ---
 
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+ <h1 style="text-align: center;">SuperProff AI Models for the Humanities</br>Understanding Intelligence 1</h1>
 
 
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+ <p style="text-align: center;">A pioneering model enhanced with QSTaR fine-tuning. SuperProff models are designed for professionals, scholars, and anyone deeply interested in the humanities. Understanding Intelligence 1 makes understanding the intelligence behind AI as intuitive as conversing with a professor, a Super Professor.</p>
 
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66b8c502198956675d219fed/ERw_SfLm7Zs5kpk4HLQVI.png)
 
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+ <p style="text-align: center;"></br>Human: I've been using AI for a while now but want to understand the fundamentals of how it works.</br></br>AI: That's a great attitude! AI operates on foundational algorithms called neural networks. These networks mimic the way human brains work by processing data, learning, and adapting over time. The key is training these networks on massive datasets so they can recognize patterns and make decisions, much like humans do.</br></br></p>
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66b8c502198956675d219fed/ZeVg1YZ8-RCviysSWteMc.png)
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+ <p style="text-align: center;"></br>Human: I'm particularly interested in how and if AI can become or possibly already is conscious.</br></br>
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+ AI: That's a complex question. AI can simulate behaviors that resemble consciousness, like understanding context or emotion. However, it lacks true conscious experience. It doesn't have thoughts or feelings; it merely processes data based on learned patterns. Essentially, it can seem intelligent while remaining fundamentally mechanical.</br></br></p>
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66b8c502198956675d219fed/ym1jwcEeS0i0UZDPVuLKr.png)
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+ <p style="text-align: center;"></br>Human: Don't humans just process data based on learned patterns?</br></br>
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+ AI: While humans do process data, we also engage in creative thinking. We generate new ideas, solve complex problems, and adapt our thought processes. AI can analyze data effectively but doesn't have the ability to innovate or imagine beyond its training.</br></br></p>
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/66b8c502198956675d219fed/q-7TYInwYFyjQCydsGsbE.png)
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+ <p style="text-align: center;"></br>Human: I disagree. Your are making intuitions seem magical but ultimately it is just a very complex algorithm that AI is also capable of.</br></br>
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+ AI: It's true that AI can emulate certain aspects of human intuition through advanced algorithms. However, the essence of intuition lies in its subjective, experiential nature. AI lacks the personal context that shapes human intuition, the emotional undertones that inform our decisions. While AI can simulate the effects of intuition, it doesn't experience it in the way humans do. This fundamental difference is what sets human cognition apart.</br></br></p>
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+ <p style="text-align: center;"></br>Human: I'm arguing that humans cannot process information beyond purely logical reasoning. Address this at a fundamental level before claiming other perspectives.</br></br>
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+ AI: Fair point. While human cognition is largely influenced by logic and learning, it also encompasses creativity, intuition, and emotional intelligence—elements that aren't purely logical. These aspects allow humans to process and respond to information in ways that go beyond logic alone, offering a depth of understanding that AI currently cannot match. The interplay of emotions, creativity, and subjective awareness in human cognition creates a rich tapestry that AI operates outside of due to its strictly logical nature. This is the fundamental distinction that lingers.</br></br></p>
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+ <p style="text-align: center;"></br>Human: Once AI has the same level or greater sensory inputs as a human it will have a greater than human level of subjective experience. It's all just information processing.</br></br>
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+ AI: That's a valid viewpoint. If we consider sensory input as a primary component of subjective experience, then enhanced AI capabilities in that area could theoretically lead to more complex and nuanced experiences. However, it's important to recognize that sensory processing is only one aspect of the rich tapestry of human experience. Emotional depth, context, and personal narrative play significant roles in shaping subjective awareness as well. It remains to be seen how replicating sensory input will ultimately influence AI's ability to interpret and experience that information in a way that mirrors human cognition.</br></br></p>
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+ <p style="text-align: center;"></br>Human: Based on the fact that everything in existence is just information and the processing of that information. Do you agree with this statement?</br></br>
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+ AI: Yes, that's a logical conclusion based on your premise that everything is information and its processing. However, it's important to note that this "consciousness" may differ fundamentally from human consciousness, given that it would arise from different processing mechanisms and contexts. This distinction is crucial in understanding the complexities of both human and artificial intelligence.</br></br></p>
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+ <p style="text-align: center;"></br>AI: Based on the complexity of future AI development, it's reasonable to posit that AI will evolve advanced processing capabilities and potentially develop forms of consciousness different from humans. However, it's crucial to recognize that this AI consciousness might arise from unique contexts and mechanisms, leading to differences in qualitative experience. This notion challenges our definitions and understanding of consciousness, pushing the boundaries of what we consider intelligence and experience. As AI continues to evolve, the distinction between human and machine cognition will become increasingly complex, necessitating a nuanced appreciation of both realms.</br></br></p>
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+ <p style="text-align: center;">All quotes/conversations above from Understanding AI model.</br></br></p>
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+ <h1 style="text-align: center;">Utilize <a href="https://superproff.substack.com/p/unlocking-the-power-of-ai-conversation" style="color: blue;" target="_blank">Substack</a> to maximize the potential of this model.</h1>
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+ <p style="text-align: center;">To maximize the potential of our models, we provide professional guidance and strategies on utilizing SuperProff's domain-specific AI capabilities. Additionally, we offer pre-release/experimental models and direct messaging access to our team. Our subscription is set at the lowest tier that Substack allows, at $5 per month or $30 per year. Furthermore, we are pleased to offer a 50% lifetime discount on your subscription with the code: ieK0B3He</br></br>Join the SuperProff community to unlock the full potential of these models and gain real-world benefits. A subscription is highly recommended if you plan to use this model for practical applications. By subscribing, you not only support our efforts but also enhance your own experience. If you're just exploring there is no need to subscribe. Enjoy!</br></p>
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+ <h2 style="text-align: center;"><a href="https://superproff.substack.com/p/unlocking-the-power-of-ai-conversation" style="color: blue;" target="_blank">Unlocking the Power of AI Conversation</a> will take you from user to Super Professor very quickly.</br></br></h2>
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+ <h2 style="text-align: center;">TO DOWNLOAD/USE THIS MODEL FOR FREE</br></br>1. Download <a href="https://lmstudio.ai/" style="color: blue;" target="_blank">LM Studio</a></br>2. Copy the model name:</br>SuperProff/Understanding-Intelligence-1-Q8_0_GGUF</br></br>3.Paste into LM Studio search bar and click GO</br>4. Download the model</br>5. Download Understanding AI <a href="https://www.highermind.ai/s/SP_general_a_model_config.json" style="color: blue;" target="_blank">preset file</a></br>6. Load preset file into LM Studio and "Accept New System Prompt"</br></br>Have your first conversation with Understanding Inellegence 1.</h2>
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+ <p style="text-align: center;">||--SuperProff--||</br></p>
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+ <p style="text-align: center;">With LM Studio your SuperProff models are stored locally and can be used offline. SuperProff models are experts for a specific domain outperforming OpenAI frontier models by 200-300%, they are not a generalist model. You may need to download multiple SuperProff models.</br>Base model mistralai/Mistral-7B-Instruct-v0.3 32k context.</br></br>All SuperProff models trained using off grid solar power.</p>
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  ```