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Anthropic's Claude Fable 5 was the most powerful AI model on earth—until the US Government forced it offline 72 hours after launch. Before it disappeared, developers began using AI distillation to secretly copy its reasoning capabilities into small, local models. In this video, Cloud Codes breaks down the system design behind AI Model Distillation, and how developers turned 2.3 million Claude reasoning traces into "Qwable" (a 4-billion parameter Qwen 3 model running locally via Ollama). We explore the critical difference between "Off-Policy" imitation and "On-Policy Distillation," why shrinking a frontier model often causes it to lose its intelligence, and the exact 6-step playbook (Capture, Clean, Format, Train, Quantize, Run) you need to distill an AI model yourself. Finally, we look at the geopolitical fallout of the US Commerce Department banning Anthropic models, and why local open-source AI is the ultimate insurance policy. If this helped you understand the frontier of local AI and machine learning architecture, subscribe to Cloud Codes for a new infrastructure breakdown every single week! Build, solve, deploy. ⏱️ Video Chapters (Crucial for Google Search Rich Snippets): 00:00 - Fable 5 shutdown & the rescue plan 01:32 - The dataset drops on Hugging Face 02:15 - Video outline (Resources, Theory, Guide) 03:35 - Compressing 2.3M examples into a smaller model 04:08 - Distillation explained (Teacher vs. Student) 04:40 - The trap of naive distillation 04:58 - The fix: On-Policy Distillation 06:16 - Benchmark testing the cloned model 07:25 - The 6-step distillation playbook 07:40 - Step 1: Capture traces 07:56 - Step 2: Clean the noise 08:13 - Step 3: Format to ChatML 08:31 - Step 4: Pick your base model 08:46 - Step 5: Train the model 09:19 - Step 6: Quantize and ship 09:37 - Running the final model offline 10:37 - The whole story in four numbers 10:50 - Final thoughts & conclusion 🔗 Concepts & Sources Covered: Anthropic Claude Fable 5 & Mythos 5 Model Distillation & Reasoning Traces (Hugging Face): https://huggingface.co/AliesTaha/fable-traces On-Policy Distillation (Thinking Machines Lab Paper) Local Inference (Ollama, vLLM, Qwen 3) US Commerce Dept Export Controls & AI Safety #ClaudeFable5 #AIDistillation #Anthropic #LocalLLM #Ollama #CloudCodes 🔔 Subscribe: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w?sub_confirmation=1 💙 Become a Member: https://www.youtube.com/channel/UC0DZj1PNa_Fp0MU6uPSKv5w/join 🐦 Twitter/X: https://x.com/cloud_codes 💬 Discord: https://discord.gg/HVnH9SY48 User Queries: claude fable 5 banned claude fable 5 comeback what happened to claude fable 5 how to distill an ai model ai model distillation tutorial qwen 3 vs claude fable 5 run claude locally offline how to capture ai reasoning traces on policy distillation vs sft anthropic export controls 2026 cloud codes ai architecture

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