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localllm

Discrete GPU

Radeon RX 7900M

Data as of

Memory bandwidth
576 GB/s

With 16 GB

One entry per model, up to 30, sorted by popularity. For each model we show the largest (most precise) quantization that fits in this memory with a context of at least 8K tokens. The context length is the longest one that quantization fits (for models whose maximum is under 8K, such as embedding models, that maximum). Models that are not for chat or text generation are labelled with their use. "Left" is the memory minus the estimate; under 5% of the memory is marked "tight" (not a guarantee that it fits).

Frequently asked questions

Which local LLMs run on Radeon RX 7900M?
On this site, 834 models have a quantization that fits in 16 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Ornith-1.5-9B, Huihui-Qwen3.6-35B-A3B-abliterated-MTP, Ornith-1.5-35B-A3B, Huihui-Qwen3.8-27B-abliterated.
What is the largest model that runs on Radeon RX 7900M?
Among the models listed here, Qwen3.8-Flash-Next-FP4-Local-Strata (about 51.2B); BF16 fits in 16 GB (estimated at 8,192 tokens).
How fast does Radeon RX 7900M generate text?
With 576 GB/s of memory bandwidth, Qwen3.8-27B at UD-Q4_K_S (15.4 GB) runs at an estimated 23–30 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).