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Radeon 780M users report instability with llama.cpp ROCm 7.14

By PulseAugur Editorial · [1 sources] ·

A user on Reddit's r/LocalLLaMA subreddit reported experiencing frequent crashes when using llama.cpp with ROCm 7.14 on a Radeon 780M integrated GPU, despite promising initial benchmark speeds. The user found a workaround by setting the environment variable AMD_SERIALIZE_KERNEL=3, which improved stability but reduced preprocessing speed to approximately 100 tokens/second. This speed is still faster than the Vulkan backend, but the user is seeking further solutions or confirmation from others experiencing similar issues. AI

IMPACT Highlights potential instability issues for users running local LLMs on specific AMD integrated graphics hardware.

RANK_REASON User-reported issue with specific hardware and software configuration.

Read on r/LocalLLaMA →

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

Radeon 780M users report instability with llama.cpp ROCm 7.14

How we ranked this

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-reported issue with specific hardware and software configuration.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/MaximusSenior ·

    Llama.cpp with ROCm 7.14 on Radeon 780m - fast, but unstable. Workaround

    <!-- SC_OFF --><div class="md"><p>Recently I posted some benchmarks of that setup which looked promising. So, I started using it with Qwen 3.8 but bumped into frequent crashes :(</p> <p>I would like to continue using ROCm as it gives me much higher preprocessing speed for small p…

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