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[ARTICLE · art-107329] src=forum.level1techs.com ↗ pub= topic=developer-tools verified=true sentiment=· neutral

GLM and I created a llama.cpp fork optimized for AMD GFX906 (Mi50, Mi60, Radeon VII, GCN HIP)

A developer created a fork of llama.cpp optimized for AMD GFX906 GPUs (Mi50, Mi60, Radeon VII, GCN HIP), and another developer noted they had previously finetuned llama.cpp for one card, mentioning the Docker image knguyen298/llama-swap-gfx906 which includes router features. The developer plans to test the new variant after their Radeon VII finishes current tasks.

read1 min views1 publishedAug 22, 2026

Nice you have two RVII’s?

For reference: SummaryI too have finetuned a llama.cpp or two, but for one card, we mashed flashattention into a variant in jan/feb then one of these beat me to it, ended up just using it.

I actively use knguyen298/llama-swap-gfx906 - Docker Image They have built router features into newer llama.cpp, but my harness has the extra model field in API calls and that is easier for me at least. I use ai-infos vLLM for that container.

I’ll spin up this variant later on, the RVII is crunching tokens right now

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