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huihui-ai/UwU-7B-Instruct-abliterated
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Fine-tune a SmolLM on domain-specific synthetic data from a LLM
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# 🧬 Protein Genesis AI: Design Proteins with Just a Prompt ## 🤔 Current Challenges in Protein Design Traditional protein design faces critical barriers: - 💰 High costs ($1M - $10M+) & long development cycles (2-3 years) - 🔬 Complex equipment and expert knowledge required - 📉 Low success rates (<10%) - ⏰ Time-consuming experimental validation ## ✨ Our Solution: Protein Genesis AI Transform protein design through simple natural language input: ``` "Design a protein that targets cancer cells" "Create an enzyme that breaks down plastic" ``` ### Key Features - 🤖 AI-powered automated design - 📊 Real-time analysis & optimization - 🔬 Instant 3D visualization - 💾 Immediate PDB file generation ## 🎯 Applications ### Medical & Industrial - 🏥 Drug development - 💉 Antibody design - 🏭 Industrial enzymes - ♻️ Environmental solutions ### Research & Education - 🔬 Basic research - 📚 Educational tools - 🧫 Experimental design - 📈 Data analysis ## 💫 Key Advantages - 👨‍💻 No coding or technical expertise needed - ⚡ Results in minutes (vs. years) - 💰 90% cost reduction - 🌐 Accessible anywhere ## 🎓 Who Needs This? - 🏢 Biotech companies - 🏥 Pharmaceutical research - 🎓 Academic institutions - 🧪 Research laboratories ## 🌟 Why It Matters Protein Genesis AI democratizes protein design by transforming complex processes into simple text prompts. This breakthrough accelerates scientific discovery, potentially leading to faster drug development and innovative biotechnology solutions. The future of protein design starts with a simple prompt! 🚀 https://huggingface.co/spaces/openfree/ProteinGenesis
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