arXiv Machine Learning July 17, 2026 By Saima Afrin, Md. Zahidul Haque, Antonio Mastropaolo

Quantize with Confidence? An Empirical Study of Quantization for Code Generation

Read the original on arXiv Machine Learning →

arXiv:2607. 14181v1 Announce Type: cross Abstract: The growing adoption of local inference frameworks such as Ollama has made it increasingly common for developers to run large code models on laptops and other resource-constrained hardware.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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