Knowledge Distillation: Distilling DeepSeek-R1 | SLM Playbook
← Series hub ← Previous | Next → The release of DeepSeek-R1 in early 2025 disrupted conventional wisdom surrounding artificial intelligence scaling. Rather than simply chasing raw parameter size, DeepSeek demonstrated a paradigm shift: Knowledge Distillation from massive reasoning models can transfer complex multi-step reasoning traces (Chain of Thought - CoT) into smaller student models (SLMs) like Qwen or Llama. Thanks to this technique, distilled open models like DeepSeek-R1-Distill-Qwen-14B or DeepSeek-R1-Distill-Llama-8B achieve reasoning and coding scores that surpass vanilla models multiple times their size. ...