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Quantization Explained

Quantization explained: learn how lower-precision weights reduce LLM memory and bandwidth demands, and when to choose 8-bit, 4-bit, FP8, PTQ, or QAT.

In the full article

  1. What is model quantization?
  2. How do post-training quantization and quantization-aware training differ?
  3. Should you use 8-bit, 4-bit, or FP8 quantization?
  4. Why can quantization make inference faster?
  5. Key takeaways
  6. How Hyperlake helps
  7. Frequently asked questions

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