DeepSeek V4 Flash (April 2026) on Apple M2 Ultra (192 GB)

Can the Apple M2 Ultra (192 GB) run DeepSeek V4 Flash (April 2026)?

82 pts

Yes, with little memory to spare

Tight fit. At Q2_K it needs about 129 GB of 144 GB usable, with an estimated speed of 53.4 tok/s.

Best quant: Q2_K
Generation speed: 53.4 tok/s
Prompt processing: 1,297 tok/s
First token (1K prompt): 0.8 s
Largest safe context: 343K

Download DeepSeek V4 Flash (April 2026)

Recommended for the Apple M2 Ultra (192 GB): Q2_K. Every other quantization has its own download link in the table below.

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

Download the Q2_K (UD-Q2_K_XL) files (opens in a new tab)

huggingface.co/unsloth/DeepSeek-V4-Flash-GGUF (opens in a new tab)

ollama run hf.co/unsloth/DeepSeek-V4-Flash-GGUF

Original weights · Hugging Face

Full-precision files from DeepSeek, for fine-tuning, vLLM, Transformers.

huggingface.co/deepseek-ai/DeepSeek-V4-Flash (opens in a new tab)

No sign-in needed.

Links checked 15 hours ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.	29.0 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	24.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	15.0 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	83.0 / 100	82 ptsGreat (A) · 82 of 100 points: Model quality 29.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M2 Ultra (192 GB)

Quant	Memory needed	Available	Speed	Fit	Grade · points	Download
`Q2_K`	129 GB	144 GB	53.4 tok/s	Tight fit	82 ptsGreat (A) · 82 of 100 points: Model quality 29.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15	GGUF (UD-Q2_K_XL) · folder (opens in a new tab)
`Q3_K_M`	155 GB	144 GB	35.7 tok/s	Runs with offload	73 ptsGreat (A) · 73 of 100 points: Model quality 34.8/45, Memory fit 10.0/25, Speed 14.2/15, Memory use 15.0/15	GGUF · folder (opens in a new tab)
`Q4_K_M`	190 GB	144 GB	—	Won't run	11 ptsWon't run (F) · 11 of 100 points: Model quality 11.8/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (UD-Q4_K_XL) · folder (opens in a new tab)
`Q5_K_M`	219 GB	144 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.0/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q6_K`	251 GB	144 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.3/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF files (opens in a new tab)
`Q8_0`	321 GB	144 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	GGUF (UD-Q8_K_XL) · folder (opens in a new tab)
`F16`	594 GB	144 GB	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.4/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

90 ptsExcellent (S) · 90 of 100 points: Model quality 39.3/45, Memory fit 25.0/25, Speed 13.7/15, Memory use 12.6/15 Apple M3 Ultra (512 GB) Q4_K_M · 33.3 tok/s
89 ptsExcellent (S) · 89 of 100 points: Model quality 34.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15 Apple M3 Ultra (256 GB) Q3_K_M · 43.0 tok/s

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.