Model: Byon-AGI-Ultra/Byon-AGI-Ultra
Author: Byon-AGI-Ultra
Pipeline: text-generation
Library: transformers
Tags: transformers, artificial-general-intelligence, fragmergent-theory, quantification-algorithms, adaptive-reasoning, emergent-intelligence, multi-dimensional-ai, memory-augmented, confidence-estimation, entropy-analysis, creative-exploration, incremental-reasoning, cross-context-learning, pathway-evolution, statistical-quantification, decision-confidence, self-calibrating, evolutionary-ai, consciousness-modeling, meta-learning, causal-reasoning, few-shot-learning, zero-shot-learning, in-context-learning, reasoning-chains, emergence-detection, cognitive-architecture, unified-theory, pytorch, custom-architecture, text-generation, en, multilingual, dataset:OpenAssistant/oasst2, dataset:conceptofmind/cot_submix_original, dataset:WizardLM/WizardLM_evol_instruct_V2_196k, dataset:microsoft/orca-math-word-problems-200k, dataset:argilla/distilabel-math-preference-dpo, dataset:HuggingFaceH4/ultrachat_200k, dataset:reasoning_datasets/multi_step_reasoning, dataset:fragmergent_theory/synthetic_pathways, base_model:meta-llama/Llama-2-7b-hf, base_model:finetune:meta-llama/Llama-2-7b-hf, license:apache-2.0, model-index, endpoints_compatible, region:us
Base models (finetune): id: meta-llama/Llama-2-7b-hf
Card metadata: license: apache-2.0
datasets: OpenAssistant/oasst2, conceptofmind/cot_submix_original, WizardLM/WizardLM_evol_instruct_V2_196k, microsoft/orca-math-word-problems-200k, argilla/distilabel-math-preference-dpo, HuggingFaceH4/ultrachat_200k, reasoning_datasets/multi_step_reasoning, fragmergent_theory/synthetic_pathways
language: en, multilingual
metrics: accuracy, bleu, rouge, perplexity, fragmergent_coherence, reasoning_quality, emergence_detection, confidence_calibration, memory_efficiency, cross_context_retrieval
base_model: microsoft/DialoGPT-large, meta-llama/Llama-2-7b-hf, mistralai/Mistral-7B-v0.1
pipeline_tag: text-generation
library_name: transformers
tags: artificial-general-intelligence, fragmergent-theory, quantification-algorithms, adaptive-reasoning, emergent-intelligence, multi-dimensional-ai, memory-augmented, confidence-estimation, entropy-analysis, creative-exploration, incremental-reasoning, cross-context-learning, pathway-evolution, statistical-quantification, decision-confidence, self-calibrating, evolutionary-ai, consciousness-modeling, meta-learning, causal-reasoning, few-shot-learning, zero-shot-learning, in-context-learning, reasoning-chains, emergence-detection, cognitive-architecture, unified-theory, transformers, pytorch, custom-architecture
model-index: name: Byon-AGI-Ultra
results: task: type: text-generation
name: Text Generation
dataset: type: reasoning_benchmark
name: Multi-Step Reasoning Benchmark
metrics: type: accuracy
value: 0.847
name: Reasoning Accuracy
verified: no, type: fragmergent_coherence
value: 0.923
name: Fragmergent Coherence
verified: no, type: emergence_detection
value: 0.789
name: Emergence Detection Rate
verified: no, type: confidence_calibration
value: 0.856
name: Confidence Calibration
verified: no, task: type: question-answering
name: Question Answering
dataset: type: complex_qa_benchmark
name: Complex QA Benchmark
metrics: type: accuracy
value: 0.812
name: QA Accuracy
verified: no, type: cross_context_retrieval
value: 0.734
name: Cross-Context Retrieval
verified: no, type: memory_efficiency
value: 0.891
name: Memory Efficiency
verified: no, task: type: text-classification
name: Reasoning Quality Classification
dataset: type: reasoning_quality_dataset
name: Reasoning Quality Dataset
metrics: type: accuracy
value: 0.876
name: Classification Accuracy
verified: no, type: reasoning_quality
value: 0.834
name: Reasoning Quality Score
verified: no, task: type: zero-shot-classification
name: Zero-Shot Emergence Detection
dataset: type: emergence_patterns
name: Emergence Patterns Dataset
metrics: type: accuracy
value: 0.743
name: Zero-Shot Accuracy
verified: no, type: emergence_detection
value: 0.812
name: Emergence Detection F1
verified: no
widget: text: Explain the relationship between consciousness and artificial intelligence from a fragmergent perspective.
example_title: Consciousness & AGI Analysis, text: Design a quantum algorithm that adapts to noise patterns using emergent principles.
example_title: Adaptive Quantum Algorithm, text: How can we solve climate change through biotechnology and AI coordination?
example_title: Complex Problem Solving, text: Analyze the emergence of intelligence in complex systems.
example_title: Intelligence Emergence, text: Create a reasoning chain for solving P vs NP problem.
example_title: Advanced Mathematical Reasoning
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Created: 2025-03-01 17:05:28