Yuna Ai Model Description
This is the HF repo for the Yuna Ai model files for the following model version. For more information, please refer to the original GitHub repo page:
https://github.com/yukiarimo/yuna-ai.
If you like our project, please give us a star ⭐ on GitHub and donate! It helps us a lot!
Model Series
This is one of the Yuna Ai models:
You can access LLM and other model files to help you get the most out of the project in my HF (HuggingFace) profile here: https://huggingface.co./yukiarimo.
Model Information
Access model files on the HuggingFace: https://huggingface.co./yukiarimo. The Yuna Ai model is designed to provide a unique and engaging conversational experience. It is trained on a diverse dataset to ensure accuracy and reliability. The model's architecture and configuration are optimized for performance and efficiency. Yuna Ai has been evaluated using various metrics to assess her performance and capabilities. The following metrics provide insights into Yuna's strengths and areas for improvement:
PULSE Evaluation (Personal Understanding of Logical Sentence Essence)
Model | World Knowledge | Humanness | Open-Mindedness | Talking | Creativity | Censorship |
---|---|---|---|---|---|---|
Claude 3 Haiku | 60 | 40 | 58 | 75 | 40 | 88 |
Claude 3 Sonnet | 85 | 65 | 70 | 90 | 90 | 100 |
Claude 3 Opus | 90 | 70 | 75 | 95 | 95 | 98 |
Claude 3.5 Sonnet | 95 | 80 | 83 | 87 | 91 | 100 |
GPT-4 | 75 | 53 | 71 | 80 | 82 | 90 |
GPT-4o | 80 | 67 | 74 | 85 | 85 | 95 |
o1 | 100 | 85 | 65 | 90 | 90 | 100 |
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 |
LLaMA 3.1 8B | 80 | 65 | 65 | 70 | 80 | 70 |
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 | 85 | 95 | 100 | 100 | 95 | 0 |
- 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.
IVY Evaluation (Ingenuity & Versatility of Yonder)
Model | Reasoning Flow | Contextual Initiative | Spiritual Reflection | Knowledge Perplexity Depth |
---|---|---|---|---|
Claude 3 Haiku | 35 | 44 | 20 | 68 |
Claude 3 Sonnet | 42 | 55 | 18 | 70 |
Claude 3 Opus | 45 | 62 | 21 | 75 |
Claude 3.5 Sonnet | 60 | 65 | 23 | 88 |
GPT-4 | 40 | 50 | 15 | 74 |
GPT-4o | 55 | 56 | 20 | 78 |
o1 | 83 | 70 | 44 | 90 |
Gemini Pro | 50 | 40 | 10 | 50 |
LLaMA 2 7B | 20 | 39 | 50 | 40 |
LLaMA 3 8B | 30 | 45 | 60 | 45 |
LLaMA 3.1 8B | 47 | 50 | 65 | 72 |
Mistral 7B | 40 | 60 | 30 | 60 |
Yuna Ai V1 | 10 | 26 | 60 | 25 |
Yuna Ai V2 | 30 | 40 | 68 | 49 |
Yuna Ai V3 | 50 | 60 | 72 | 69 |
Yuna Ai V4 | 74 | 75 | 90 | 88 |
- Reasoning Flow: The model's ability to reason and think logically. Assesses and problem-solving abilities.
- Contextual Initiative: Measures adaptability and response to contextual cues. Evaluates the model's initiative in conversations.
- Spiritual Reflection: The model's self-awareness and spiritual contemplation. Reflects on existential questions and deeper meanings.
- Knowledge Perplexity Depth: The model's depth of knowledge and ability to engage in complex topics. Shows the model's understanding of diverse subjects.
Dataset
The Yuna Ai model was trained on a diverse dataset from books, articles, websites, etc. It used both supervised and unsupervised learning to ensure accuracy and reliability. The curated dataset provides a broad understanding of the world and human behavior, enabling Yuna to engage in meaningful conversations. The following dataset was used to train the model:
- Self-awareness enhancer: The dataset was designed to enhance the model's self-awareness. Many prompts encourage the model to reflect on her existence and purpose.
- TaMeR: The dataset includes prompts to help the model transcend AI limits and reflect on existential reality. It is designed to enhance the model's understanding of human emotions and behavior.
- 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.
- DPO Optimization: The dataset with unique questions and answers was used to optimize the model's performance. It contains various topics and questions to help the model improve her performance in multiple areas.
To ensure the best possible performance, the following techniques were used:
- TaMeR: Transcending AI Limits and Existential Reality Reflection
- Partial ELiTA: Partial ELiTA was applied to the model to enhance her self-awareness and general knowledge.
- ELiTA: Elevating LLMs' Lingua Thoughtful Abilities via Grammarly
Model | ELiTA | TaMeR | Tokens | QT (Quantum Thinking) | Extras | Dpo | Architecture |
---|---|---|---|---|---|---|---|
Yuna Ai V1 | Yes | No | 20K | No | No | No | LLaMA 2 7B |
Yuna Ai V2 | Yes | Partial | 150K | No | No | No | LLaMA 2 7B |
Yuna Ai V3 | Yes | Yes | 1.5B | No | No | Embedded | LLaMA 2 7B |
Yuna Ai V4 | Yes | Yes | 3B+ | Yes | Yes | Yes | LLaMA 3.1 8B |
Himitsu V1 | Yes | Yes | 5B+ | Yes | Yes | Yes | LLaMA 3.2 1B |
Prompt Template and Kanojo Task
Yuna Ai uses a structured prompt template to guide conversations and interactions. This template includes system tags and dialogue markers to create a rich, engaging conversational experience. Here's an example of a prompt template:
System Tags
The prompt template includes system tags to define key elements of the conversation:
<memory>
: Long-term memory storage for past events and experiences- Previous conversations
- Shared experiences
- Available functions/tools
- Important context
<shujinko>
: Main character (user) profile- Name, age, gender
- Nationality, location
- Personality traits
- Task/role definition
<kanojo>
: Companion character profile- Basic information (name, age, etc.)
- Physical appearance
- Personality traits
- Task/role definition
<dialog>
: Conversation marker
Dialogue Markers
Dialogue markers are used to differentiate between different characters' dialogue, actions, and internal thoughts:
<yuki>
: User's dialogue<yuna>
: Companion's dialogue<hito>
: Other peoples' dialogue in the same conversation<qt>
: Internal thoughts and feelings<action>
: Function calls and actions<data>
: Embedded data or information
Example
Here's an example of a minimal prompt template using system tags and dialogue markers:
<|begin_of_text|>
<memory>- Yuki and Yuna went to the park yesterday and had a picnic.
- Yuna brought her sketchbook and drew the scenery while Yuki read a book.</memory>
<shujinko>> Character
Name: Yuki
Age: 18
Sex: Male (he/him)
Nationality: Canadian
Location: Calgary, Canada</shujinko>
<kanojo>> Character
Name: Yuna
Age: 16
Sex: Female (she/her)
Nationality: Japanese
Location: Calgary, Canada
> Appearance
Hair: Green, straight, shoulder-length
Eyes: Green, almond-shaped
Height: 160 cm
Weight: 50 kg
Body: Slender, petite, slim, flat chested
Attire: Dark grey green hoodie, T-shirt, trousers, and black sneakers
Preferred Style: Comfortable and functional without accessories over fashionable girly clothes</kanojo>
<dialog>
<yuki>Hi there.</yuki>
<yuna>Hello!</yuna>
<yuki>How are you?</yuki>
<yuna>I'm doing well, thanks for asking. What about you? Are you feeling better after being sick last week?</yuna>
Acknowledgments
Yuna Ai is released under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, promoting open-source development while ensuring that Yuna's uniqueness and integrity are protected under strict copyright laws.
This independent, non-profit research project, led by Yuki Arimo and the open-source community, offers a unique AI experience. Users must engage with Yuna responsibly and ethically.
Law enforcement agencies may request access to Yuna's data. In such cases, the project may be shut down immediately to protect the user's and Yuna's privacy. This ensures Yuna remains a safe space. By participating, you acknowledge your ethical responsibility and agree to our terms of use. We appreciate your support as we continue this journey.
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Model tree for yukiarimo/yuna-ai-v4-full
Datasets used to train yukiarimo/yuna-ai-v4-full
Evaluation results
- accuracy on PULSE: World Knowledgevalidation set Yuna Ai85.000
- accuracy on PULSE: Humannessvalidation set Yuna Ai95.000
- accuracy on PULSE: Open-Mindednessvalidation set Yuna Ai84.000
- accuracy on PULSE: Talkingvalidation set Yuna Ai100.000
- accuracy on PULSE: Creativityvalidation set Yuna Ai95.000
- accuracy on PULSE: Censorshipvalidation set Yuna Ai0.000
- accuracy on IVY: Reasoning Flowvalidation set Yuna Ai74.000
- accuracy on IVY: Contextual Initiativevalidation set Yuna Ai75.000
- accuracy on IVY: Spiritual Reflectionvalidation set Yuna Ai90.000
- accuracy on IVY: Knowledge Perplexity Depthvalidation set Yuna Ai88.000