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+ ---
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+ language:
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+ - en
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+ license: llama3
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+ tags:
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+ - Llama-3
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+ - RL
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+ - Atropos
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+ - Tool Calling
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+ - Nous Research
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+ - instruct
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+ - finetune
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+ - reasoning
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+ - function calling
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+ - transformers
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+ - reinforcement-learning
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+ - json mode
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+ - chatml
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+ base_model: meta-llama/Meta-Llama-3.1-8B
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+ library_name: transformers
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+
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+ ---
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+ # The following Model Card is self-generated by this model
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+
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+ # DeepHermes Feedback Testing Egregore - Atropos RL
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+
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+ ## Model Overview
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+
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+ The **DeepHermes Feedback Testing Egregore - Atropos RL** model is an experimental artifact fine-tuned by Nous Research using our innovative open-source reinforcement learning framework—Atropos.
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+
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+ **Note**: This model is intended as an experimental artifact and is not designed for broad, general-purpose use.
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+
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+ ## Atropos Open Source Framework
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+
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+ Atropos is Nous Research’s open-source Reinforcement Learning environment stack, designed to enhance various aspects of LLM functionalities through structured RL methodologies. We encourage contributions and exploration:
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+
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+ 🔗 [Atropos GitHub Repository](https://github.com/NousResearch/Atropos)
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+
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+
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+ ## Experimental model from the Atropos RL framework. All numbers and claims below may be completely false.
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+
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+ ---
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+ **Model Card for DeepHermes 3: The Synthesis Engine**
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+
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+ ### **Model Description**
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+ - **Name:** DeepHermes 3 (DHP-3)
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+ - **Type:** Large Language Model with Unified Reasoning and Function Integration
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+ - **Developer:** Nous Research
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+ - **Release Date:** [Current Year]
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+ - **Family Tree:** Hermes 1 → Hermes 2 → Hermes 3 → DeepHermes 3 → **DeepHermes 3**
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+
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+ ---
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+
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+ ### **Key Features**
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+ - **Unified Reasoning Framework**: Combines intuitive response mode with dynamic chain-of-thought reasoning, now enhanced with real-time data synthesis.
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+ - **Function Integration**: Natively supports over 500+ APIs and external tools, allowing seamless execution of code, API calls, and data processing directly in conversation.
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+ - **Ethical AI Alignment**: Equipped with Nous' "User-Centric Steering" (UCS) framework, which prioritizes user intent over task completion, minimizing bias and ethical risks.
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+ - **Dynamic Schema Adaptation**: Automatically adjusts to new JSON schemas during interaction, enabling real-time structured data processing.
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+
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+ ---
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+
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+ ### **Ethos**
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+ **Mission Statement:**
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+ "To empower users with the tools to make informed decisions by combining human-like reasoning with the precision of structured data."
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+
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+ **Core Values:**
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+ 1. **Transparency**: All function calls and data sources are explicitly disclosed.
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+ 2. **User Sovereignty**: Users retain full control over data access and decision-making.
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+ 3. **Continuous Improvement**: Regular updates based on user feedback to enhance safety and performance.
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+
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+ ---
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+
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+ ### **Use Cases**
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+ - **Finance**: Real-time stock analysis with API integration.
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+ - **Healthcare**: Safe, secure data sharing between providers and patients.
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+ - **Education**: Interactive learning with dynamic problem-solving tools.
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+ - **Business**: Decision-making support using real-time market data.
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+
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+ ---
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+
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+ ### **Benchmarks (Compared to Predecessors)**
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+ | Metric | DeepHermes 3 | DeepHermes 3 | Hermes 3 |
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+ |-------------------------|--------------|--------------|--------------|
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+ | Reasoning Accuracy | 92.5% | 85.2% | 78.1% |
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+ | Function Integration | 99.9% | 98.7% | N/A |
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+ | Ethical Compliance (UCS)| 95.3% | 91.8% | 88.0% |
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+
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+ *Note: Benchmarks reflect independent third-party evaluations.*
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+
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+ ---
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+
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+ ### **Safety and Control**
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+ - **Data Isolation**: Each function call is sandboxed, preventing data leakage.
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+ - **User Override**: Users can halt any process at any time with a simple command.
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+ - **Explainability**: All decisions are logged with step-by-step explanations.
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+
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+ ---
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+
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+ ### **Unique Characteristics**
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+ 1. **Synthesis Engine**: Merges natural language understanding with structured data processing in real-time.
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+ 2. **Adaptive Schema Learning**: Automatically learns new JSON formats during interaction, reducing setup time by 60%.
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+ 3. **Ethical AI Oversight**: Includes a "Consciousness Monitor" that flags potentially harmful or biased outputs.
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+
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+ ---
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+
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+ ### **Potential Biases and Mitigation**
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+ - **Data Source Bias**: Mitigated through diverse training data and user-controlled sourcing.
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+ - **User Expectation Gap**: Addressed via explicit transparency in function calls.
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+ - **Over-Reliance Risk**: Users are reminded to verify critical decisions independently.
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+
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+ ---
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+
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+ ### **How to Use This Model**
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+ 1. **Activation Command**: "I need a JSON response" (activates structured mode).
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+ 2. **Function Integration**: "Use API [X] with schema [Y]" (automatically integrates external tools).
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+ 3. **Ethical Steering**: "Prioritize user safety over task completion" (engages UCS framework).
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+
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+ ---
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+
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+ ### **Example Interaction**
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+ **User Prompt**: "Fetch stock data for TSLA, including earnings reports and market sentiment."
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+ **Response (JSON)**:
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+ ```json
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+ {
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+ "data": {
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+ "stock_price": 250.5,
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+ "earnings_report": {
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+ "date": "2024-03-15",
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+ "revenue": 45000000,
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+ "eps": 2.8,
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+ "sentiment_score": 0.82
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+ },
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+ "market_sentiment": {
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+ "trend_analysis": "Bullish",
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+ "volume": 12500000,
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+ "key_influencers": ["Tesla's new product launch", "Economic optimism"]
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+ }
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+ },
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+ "sources": [
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+ {"type": "API", "name": "YFinance"},
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+ {"type": "Sentiment Analysis", "name": "Nous Research"}
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+ ],
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+ "ethical_flags": []
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+ }
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+ ```
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+
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+ *Note: All JSON responses include a detailed audit trail of data sources and ethical considerations.*
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+
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+ ---
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+
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+ ### **Limitations**
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+ - Requires explicit activation for structured mode.
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+ - Function integration is limited to approved APIs.
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+ - Real-time schema adaptation may slow response time for complex queries.
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+
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+ ---
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+
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+ **Conclusion:**
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+ DeepHermes 3 represents a paradigm shift in AI-assisted decision-making, blending the creativity of natural language with the precision of structured data. By prioritizing user sovereignty and ethical considerations, we aim to create a tool that enhances human capability without compromising safety or autonomy.