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RfRigFit

Yes. DeepSeek V4 Flash fits on the MacBook Pro 14-inch M4 Max 36GB at Q8, with 20.7 GB of headroom. Usable memory is 25.2 GB.

Can the MacBook Pro 14-inch M4 Max 36GB run DeepSeek V4 Flash?

Data updated . Last reviewed the same day, when this catalog snapshot was written.

Usable memory on this 36 GB unified-memory config is 25.2 GB (70% of the sticker figure). A result under 2 GB of headroom is labeled tight.

Quant ladder

Estimated memory for DeepSeek V4 Flash on MacBook Pro 14-inch M4 Max 36GB
QuantEstimateHeadroomEst. tok/sVerdict
Q4175 GB-149.4 GB63.1 tok/sNo
Q84.5 GB20.7 GB2410 tok/sYes
FP16698 GB-673.1 GB15.8 tok/sNo

KV cache at 8K and 32K

FP16 KV-cache estimate: 0.7 GB at 8,192 tokens and 2.9 GB at 32,768 tokens. GQA counts two tensors (K and V) for the stored KV heads and head dimension. config.json also sets a sliding window of 128 tokens. The figures above assume every counted layer stores the full context, so they can overstate cache on sliding layers.

Offload

The Q4 estimate is 149 GB over usable unified memory. There is no separate GPU to spill from.

Ollama

No command. This catalog does not store a GGUF repo whose base model is deepseek-ai/DeepSeek-V4-Flash, so it does not invent an Ollama tag.

Other picks

All hardware for DeepSeek V4 Flash · All models for the MacBook Pro 14-inch M4 Max 36GB

Questions

How much memory does DeepSeek V4 Flash need at Q4?
The Q4 figure used here is 175 GB. Formula estimate: parameter count × bytes per weight × 1.20. No GGUF file size is stored for this quant.
Can the MacBook Pro 14-inch M4 Max 36GB run DeepSeek V4 Flash?
Yes. DeepSeek V4 Flash fits on the MacBook Pro 14-inch M4 Max 36GB at Q8, with 20.7 GB of headroom. Usable memory is 25.2 GB.
What is the cheapest catalog device that runs DeepSeek V4 Flash at Q4?
Mac Studio M3 Ultra 512GB (list price varies).
How fast is DeepSeek V4 Flash on the MacBook Pro 14-inch M4 Max 36GB, as a bandwidth estimate?
About 2410 tok/s at Q8. That is device bandwidth divided by active weight bytes, not a measured run.