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localllm

Apple Silicon (Mac)

Apple M1 Max

Data as of

Memory bandwidth
400 GB/s

With 32 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 64 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 M1 Max?
On this site, 998 models have a quantization that fits in 64 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 M1 Max?
Among the models listed here, Grok-1 (about 316.5B); IQ1_S fits in 64 GB (estimated at 8,192 tokens).
How fast does Apple M1 Max generate text?
With 400 GB/s of memory bandwidth, Qwen3.8-27B at BF16 (54.7 GB) runs at an estimated 4.4–5.9 tokens per second (60–80% of bandwidth ÷ file size; prompt processing not included).