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llama.cpp bug causes memory overflow with M-RoPE embeddings

By PulseAugur Editorial · [1 sources] ·

A bug in the llama.cpp library allows it to read past allocated memory when processing M-RoPE embeddings, a feature used by models like Qwen2.5-VL and Qwen2.5-Omni. This heap-buffer-overflow occurs because the library incorrectly calculates the required memory for positions, leading to corrupted or incoherent output. An open pull request, #28910, has been verified to fix this issue by adjusting how positions are handled. AI

IMPACT This bug could lead to corrupted output or instability in applications using llama.cpp with M-RoPE models.

RANK_REASON Bug report and fix for a specific library function.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

llama.cpp bug causes memory overflow with M-RoPE embeddings

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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · The Homelab Postmortem ·

    llama.cpp reads past its own pos buffer for M-RoPE embeddings, and nothing reports it

    <p><strong>TL;DR</strong>: <code>include/llama.h</code> says the <code>pos</code> array "must have size of n_tokens", and that if you pass <code>NULL</code> "the token position will be tracked automatically". For a model that uses multiple positions per embedding — M-RoPE, which …

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