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seawolf2357
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updated a model 7 days ago
seawolf2357/Darwin-gpt-ernie-20b
published a model 7 days ago
seawolf2357/Darwin-gpt-ernie-20b
reacted to openfree's post with šŸ”„ 8 days ago
šŸŒ± Darwin-Qwen3-4B Released! We are excited to introduce the first achievement of the Darwin Project. We have evolved an embryonic model that simultaneously inherits the strengths of both non-reasoning models and reasoning models based on Qwen3-4B, creating a new offspring model. https://huggingface.co/openfree/Darwin-Qwen3-4B āœ… Benchmarking results confirm that the traits and advantages of both parent models are fully reflected. āœ… We are releasing Darwin-Qwen3-4B on Hugging Face. šŸ”¬ Technical Specifications Model Configuration -Base Architecture: Qwen3-4B -Parent Model 1: Qwen/Qwen3-4B-Instruct-2507 -Parent Model 2: Qwen/Qwen3-4B-Thinking-2507 -Merge Algorithm: Darwin A2AP Enhanced v3.2 -Optimization Method: Evolutionary Algorithm with Adaptive Fitness Evolution Process -Population Size: 20 individuals -Evolution Cycles: 5,000+ generations -Fitness Objectives: Multi-objective optimization (accuracy, robustness, generalization) -Validation Metric: 88.56% on proxy task (digit classification) šŸ“Š Technical Innovations 1. Automated Model Merging Automatic exploration of optimal merge ratios without manual hyperparameter tuning Architecture-aware parameter alignment Late-stage performance optimization 2. Cost Efficiency Creation of new models at 1/10,000 the cost of foundation model training Repeatable experimental process šŸ”® Significance and Outlook Darwin-Qwen3-4B demonstrates a new model creation paradigm: "Foundation A + Foundation B = Foundation AƗB+C". This represents: -Instant Domain Fusion: Immediate integration of models with different characteristics -Sustainable AI Development: Reduced environmental burden through existing model recycling -Democratized AI Research: Small research teams can create new models šŸ“š Additional Resources GitHub Repository: [Coming Soon] Technical Paper: [In Preparation]
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