DeepSeek R1 Distill 1.5B

At the default Q4_K_M, 140 of 140 phones have enough estimated usable memory; 140 also reach 3+ tokens/s. On Mac, 54 of 54 exact configurations pass using that quant or a smaller tracked fallback.

Params
1.8B
Family
deepseek
Released
2025-01
Tags
reasoning

Downloads & memory by quant

The download is only the weights — add KV cache and runtime to get what your phone actually needs. “Memory-fit” only means it can load; “usable” also requires an estimated 3+ tokens/s. Each row uses that row's quant. ★ = recommended.

QuantDownloadMemory neededPhone reality
Q2_K0.8 GB~1.6 GB140 memory-fit · 140 usable
Q3_K_M0.9 GB~1.7 GB140 memory-fit · 140 usable
IQ4_XS1 GB~1.8 GB140 memory-fit · 140 usable
Q4_01.1 GB~1.9 GB140 memory-fit · 140 usable
Q4_K_M1.1 GB~1.9 GB140 memory-fit · 140 usable
Q4_K_S1.1 GB~1.9 GB140 memory-fit · 140 usable
Q5_K_M1.3 GB~2.1 GB139 memory-fit · 139 usable
Q6_K1.5 GB~2.3 GB139 memory-fit · 139 usable
Q8_01.9 GB~2.7 GB139 memory-fit · 139 usable

DeepSeek R1 Distill 1.5B at Q4_K_M on 140 phones

This table is fixed to the recommended Q4_K_M, on each phone's largest RAM option. Counts for smaller quants above will differ. All phones are shown, sorted by fit and estimated experience; tap one for the full report.

PhoneChip · RAMNeedsSpeedVerdict

~ = bandwidth-based estimate · ✓ = measured on real hardware

DeepSeek R1 Distill 1.5B on 54 Mac configurations

Each Mac uses the recommended Q4_K_M at 4K context when it fits, or the largest smaller tracked quant that fits. Each row links to the full report with a macOS-specific setup guide.

MacUnified memoryQuantWorking budgetNeedsEstimated speedVerdict

FAQ

How much RAM do I need to run DeepSeek R1 Distill 1.5B on a phone?

At Q4_K_M, DeepSeek R1 Distill 1.5B needs ~1.9GB of usable memory (weights + KV cache + runtime). In practice that means a 6GB+ Android phone or a 6GB+ iPhone — iOS lets a single app use less of its RAM than Android does.

How fast does DeepSeek R1 Distill 1.5B run on a flagship phone?

On the Galaxy S25 Ultra (Snapdragon 8 Elite) it runs at ~31.4 tokens/s at Q4_K_M, estimated from memory bandwidth. Anything above ~8 tokens/s feels smooth for chat.

Can an iPhone run DeepSeek R1 Distill 1.5B?

Yes — the iPhone 16 Pro Max runs it at ~24.5 tokens/s at Q4_K_M, using 1.9GB of its ~5.2GB usable memory.

What is the best quantization of DeepSeek R1 Distill 1.5B for mobile?

Q4_K_M (1.1GB download) is the size/quality sweet spot of the 9 quants available. Total memory needed is ~1.9GB once the KV cache and runtime are counted — the download size alone understates it.

How many phones can run DeepSeek R1 Distill 1.5B?

140 of the 140 phones we track have enough estimated usable memory at Q4_K_M; 140 also reach our usable-speed threshold of 3 tokens/s, and 127 run smoothly. Memory-fit alone does not mean a good experience.

Which Macs can run DeepSeek R1 Distill 1.5B?

54 of the 54 exact Mac configurations we track have enough estimated working memory. Each Mac uses the recommended Q4_K_M when it fits, or the largest smaller tracked quant that fits, and separates installed unified memory, the macOS reserve, and estimated speed.

What is DeepSeek R1 Distill 1.5B good for on a phone?

It's tagged for reasoning. At 1.8B parameters, it's a fast, lightweight pick for quick tasks.

Guides for DeepSeek

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