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AI · github.com · Tuesday, 2 June 2026

llama.cpp update cuts VRAM usage by 1.2 GB via smarter logits allocation

The llama.cpp PR #23861 changes the context to reserve logits space only for active sequences, trimming unnecessary buffer allocations. Combined with the -ub 2048 setting and Multi‑Threaded Parallel (MTP) decoding, the change frees roughly 1.2 GB of VRAM, extending the benefits of recent KV‑cache quantization for multi‑GPU deployments.

Read the source: github.com ↗In the 2 June issue →