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localllm

Apple Silicon (Mac)

Apple M5 Ultra

Data as of

Memory bandwidth
1,200 GB/s

With 96 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).

With 256 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).

With 512 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 Apple M5 Ultra?
On this site, 1,052 models have a quantization that fits in 512 GB at 8,192 tokens (estimated). Popular ones include Qwen3.8-27B, Qwen3.8-Flash-Next-GSQ-RCO, Ornith-1.5-9B, Huihui-Qwen3.6-35B-A3B-abliterated-MTP, Ornith-1.5-35B-A3B.
What is the largest model that runs on Apple M5 Ultra?
Among the models listed here, Kimi-K3 (about 2,779.5B); UD-TQ1_0 fits in 512 GB (estimated at 8,192 tokens).
How fast does Apple M5 Ultra generate text?
With 1,200 GB/s of memory bandwidth, Qwen3.8-27B at BF16 (54.7 GB) runs at an estimated 13–18 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).