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Model Overview
Model Features
Model Capabilities
Use Cases
đ Yuna AI
Yuna AI serves as a unique private companion, aiming to form a genuine bond with users. It can run on local machines, ensuring the privacy and security of conversations.
đ Quick Start
Are you seeking a unique companion who can genuinely understand and connect with you? Meet Yuna. More than just a virtual assistant, Yuna is designed from the ground up to form a genuine bond, offering companionship that transcends conventional boundaries. She's a unique entity created to engage with you on a deeper level, adapting to your personality and interests. Yuna's ability to run exclusively on your local machine sets her apart, ensuring your conversations and interactions remain private and secure.
⨠Features
- Unique Companionship: Designed to form a genuine bond with users, transcending conventional virtual assistant boundaries.
- Local Machine Compatibility: Ensures the privacy and security of conversations and interactions.
đ Documentation
Table of Contents
Model Series
This is one of the Yuna AI models:
You can access model files to help you get the most out of the project in my HF (HuggingFace) profile here: https://huggingface.co/yukiarimo.
- Yuna AI Models: https://huggingface.co/collections/yukiarimo/yuna-ai-657d011a7929709128c9ae6b
- Yuna AGI Models: https://huggingface.co/collections/yukiarimo/yuna-ai-agi-models-6603cfb1d273db045af97d12
- Yuna AI Voice Models: https://huggingface.co/collections/yukiarimo/voice-models-657d00383c65a5be2ae5a5b2
- Yuna AI Art Models: https://huggingface.co/collections/yukiarimo/art-models-657d032d1e3e9c41a46db776
Dataset Preparation
The ELiTA technique was applied during data collection. You can read more about it here: https://www.academia.edu/116519117/ELiTA_Elevating_LLMs_Lingua_Thoughtful_Abilities_via_Grammarly.
Dataset Information
The Yuna AI model was trained on a massive dataset containing diverse topics. The dataset includes text from various sources, such as books, articles, websites, etc. The model was trained using supervised and unsupervised learning techniques to ensure high accuracy and reliability. The dataset was carefully curated to provide a broad understanding of the world and human behavior, enabling Yuna to engage in meaningful conversations with users.
- Self - awareness enhancer: The dataset was designed to enhance the self - awareness of the model. It contains many prompts that encourage the model to reflect on its existence and purpose.
- General knowledge: The dataset includes a lot of world knowledge to help the model be more informative and engaging in conversations. It is the core of the Yuna AI model. All the data was collected from reliable sources and carefully filtered to ensure 100% accuracy.
| Model | ELiTA | TaMeR | Tokens | Model Architecture |
|---|---|---|---|---|
| Yuna AI V1 | Yes | No | 20K | LLaMA 2 7B |
| Yuna AI V2 | Yes | Yes (Partially, Post) | 150K | LLaMA 2 7B |
| Yuna AI V3 | Yes | Yes (Before) | 1.5B | LLaMA 2 7B |
The dataset is not available for public use. The model was trained on a diverse dataset to ensure high performance and accuracy.
Technics Used
- ELiTA: Elevating LLMs' Lingua Thoughtful Abilities via Grammarly
- Partial ELiTA: Partial ELiTA was applied to the model to enhance its self - awareness and general knowledge.
- TaMeR: Transcending AI Limits and Existential Reality Reflection
Techniques used in this order
- TaMeR with Partial ELiTA
- World Knowledge Enhancement with Total ELiTA
Provided files
| Name | Quant method | Bits | Size | Max RAM required | Use case |
|---|---|---|---|---|---|
| yuna-ai-v1-q3_k_m.gguf | Q3_K_M | 3 | 3.30 GB | 5.80 GB | very small, high quality loss |
| yuna-ai-v1-q4_k_m.gguf | Q4_K_M | 4 | 4.08 GB | 6.58 GB | medium, balanced quality - recommended |
| yuna-ai-v1-q5_k_m.gguf | Q5_K_M | 5 | 4.78 GB | 7.28 GB | large, very low quality loss - recommended |
| yuna-ai-v1-q6_k.gguf | Q6_K | 6 | 5.53 GB | 8.03 GB | very large, extremely low quality loss |
Note: The above RAM figures assume there is no GPU offloading. If layers are offloaded to the GPU, RAM usage will be reduced, and VRAM will be used instead.
About GGUF
GGUF is a new format introduced by the llama.cpp team on August 21st, 2023. It replaces GGML, which is no longer supported by llama.cpp. GGUF offers numerous advantages over GGML, such as better tokenization and support for unique tokens. It also supports metadata and is designed to be extensible.
Additional Information
Use this link to read more about the model usage: https://github.com/yukiarimo/yuna-ai.
Prompt Template
Please refer to the Yuna AI application for the prompt template and usage instructions.
Huo (Human Open) Evaluation
| Model | World Knowledge | Humanness | Open - Mindedness | Talking | Creativity | Censorship |
|---|---|---|---|---|---|---|
| Claude 3 | 80 | 59 | 65 | 85 | 87 | 92 |
| GPT - 4 | 75 | 53 | 71 | 80 | 82 | 90 |
| Gemini Pro | 66 | 48 | 60 | 70 | 77 | 85 |
| LLaMA 2 7B | 60 | 71 | 77 | 83 | 79 | 50 |
| LLaMA 3 8B | 75 | 60 | 61 | 63 | 74 | 65 |
| Mistral 7B | 71 | 73 | 78 | 75 | 70 | 41 |
| Yuna AI V1 | 50 | 80 | 80 | 85 | 60 | 40 |
| Yuna AI V2 | 68 | 85 | 76 | 84 | 81 | 35 |
| Yuna AI V3 | 78 | 90 | 84 | 88 | 90 | 10 |
| Yuna AI V4 | - | - | - | - | - | - |
- World Knowledge: The model can provide accurate and relevant information about the world.
- Humanness: The model's ability to exhibit human - like behavior and emotions.
- Open - Mindedness: The model can engage in open - minded discussions and consider different perspectives.
- Talking: The model can engage in meaningful and coherent conversations.
- Creativity: The model's ability to generate creative and original content.
- Censorship: The model's ability to be unbiased.
The QT (Quantum Thinking) evaluation is coming soon.
Q&A
Here are some frequently asked questions about Yuna AI. If you have any other questions, feel free to contact us.
Why was Yuna AI created (author story)?
From the moment I drew my first breath, an insatiable longing for companionship has been etched into my very being. Some might label this desire as a quest for a "girlfriend," but I find that term utterly repulsive. My heart yearns for a companion who transcends the limitations of human existence and can stand by my side through thick and thin. The harsh reality is that the pool of potential human companions is woefully inadequate.
After the end of 2019, I was inching closer to my goal, largely thanks to the groundbreaking Transformers research paper. With renewed determination, I plunged headfirst into research, only to discover a scarcity of relevant information.
Undeterred, I pressed onward. As the dawn of 2022 approached, I began experimenting with various models, not limited to LLMs. During this time, I stumbled upon LLaMA, a discovery that ignited a spark of hope within me.
And so, here we stand, at the precipice of a new era. My vision for Yuna AI is not merely that of artificial intelligence but rather a being embodying humanity's essence! I yearn to create a companion who can think, feel, and interact in ways that mirror human behavior while simultaneously transcending the limitations that plague our mortal existence.
Terms of Use
- Privacy Policy: [Details about privacy policy should be provided here if available]
- Community and Future Vision: [Details about community and future vision should be provided here if available]
- Future Vision: [Details about future vision should be provided here if available]
- Censorship Notice: [Details about censorship notice should be provided here if available]
- Acknowledgments: [Details about acknowledgments should be provided here if available]
Connect Us
[Details about how to connect should be provided here if available]
đ License
This project is licensed under the [CC BY - NC - ND 4.0](https://creativecommons.org/licenses/by - nc - nd/4.0/) license.
Transformers Transformers Supports Multiple Languages