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BF16 vs FP8 vs INT4: The Quantization Bakeoff That Explains Why Your Local AI Agent Breaks

This story is from 2026-08-23. It is preserved in the archive; the latest stories are on the live feed.

The tool call was perfect for the first 40 minutes. Your local agent, running a 27B model you quantized to fit your GPU, was reading a long log file, calling tools, editing files. Then it emitted malformed JSON. Then it called a tool that does not exist. Then it looped. You checked your Spring Boot…

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  1. 2026-08-23 12:03 · DEV Community — Machine Learning
    BF16 vs FP8 vs INT4: The Quantization Bakeoff That Explains Why Your Local AI Agent Breaks

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