adamm-hf/Hypnos-i1-8B
Hypnos i1-8B by adamm-hf is an 8 billion parameter reasoning model based on Nous Hermes 3 (Llama 3.1 8B), featuring a 32768-token context length. It is uniquely trained with "Quantum Noise Injection" using real entropy data from IBM Quantum Heron processors, aiming to enhance creativity and break deterministic generation patterns. This model excels in complex logic, chain-of-thought reasoning, and mathematical problem-solving, outperforming standard 8B models in these specific tasks.
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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 engineered for advanced reasoning tasks. Its core differentiator is a novel training methodology involving "Quantum Noise Injection," where the model was fine-tuned on a dataset enriched with real entropy data generated by IBM Quantum Heron processors. This unique approach aims to improve the model's creativity and prevent deterministic generation.
Key Capabilities
- S-Tier Reasoning: Demonstrates strong performance in complex logic, multi-step logic puzzles, causal inference, and mathematical problem-solving, often rivaling larger 70B class models in specific narrow tasks.
- Quantum-Informed Training: Utilizes raw measurement data from 100+ qubit GHZ states from IBM's quantum hardware, making it one of the first LLMs to incorporate true quantum randomness as a stochastic regularizer.
- Deep Thinker: Optimized for long-context reasoning (4096+ tokens) and designed to "think out loud" for higher accuracy on intricate queries.
- Uncensored & Compliant: Based on Nous Hermes 3, it follows instructions without refusal while maintaining general safety.
Good For
- Complex Logic & Math: Ideal for applications requiring advanced reasoning, problem-solving, and chain-of-thought capabilities.
- Creative Generation: The quantum-informed training helps reduce mode collapse and introduces a unique "temperature" for creative writing tasks.
- Edge & Experimentation: Its 8B size makes it suitable for deployment on laptops and for rapid prototyping of new AI applications.