squ11z1/Hypnos-i1-8B
squ11z1/Hypnos-i1-8B is an 8 billion parameter reasoning model based on Nous Hermes 3 (Llama 3.1 8B) with a 32768 token context length. It is uniquely fine-tuned using a dataset enriched with real entropy data from IBM Quantum Heron processors, a process termed "Quantum Noise Injection." This model excels in complex logic, chain-of-thought reasoning, and mathematical problem-solving, aiming to improve creativity and reduce deterministic patterns in generation.
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Hypnos i1-8B: Quantum-Informed Reasoning Model
Hypnos i1-8B is an 8 billion parameter model built upon the Nous Hermes 3 (Llama 3.1 8B) architecture, specifically designed for advanced reasoning tasks. Its core differentiator lies in its unique training methodology: it was fine-tuned using a dataset augmented with real entropy data generated by IBM Quantum Heron processors. This "Quantum Noise Injection" acts as a stochastic regularizer, aiming to enhance the model's creativity and prevent repetitive generation patterns.
Key Capabilities
- S-Tier Reasoning: Demonstrates strong performance in logic and mathematical problem-solving, rivaling larger models in specific complex tasks like multi-step logic puzzles.
- Quantum-Informed: Represents a novel approach by being fine-tuned on raw measurement data from 100+ qubit GHZ states from IBM's quantum hardware.
- Uncensored & Compliant: Based on Nous Hermes 3, it follows instructions directly while maintaining general safety.
- Deep Thinker: Optimized for long-context reasoning (4096+ tokens), often employing a "think out loud" approach for higher accuracy on intricate queries.
Good For
- Complex Logic & Math: Excels in tasks requiring detailed reasoning and problem-solving.
- Creative Generation: The quantum-informed training aims to reduce mode collapse and introduce unique creative variations.
- Edge & Experimental Use: Its 8B parameter size makes it suitable for rapid prototyping and deployment on consumer hardware like laptops.