AI/ML●●Solid
Qwen3.6-35B-A3B on a 16 GB M1 Pro with SSD-streamed MoE
SSD-streamed MoE lets 16GB M1s run 35B models, but it's a specialized fork of antirez's ds4.
Big BrainNiche Gem
andreaborio
24411d ago
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I ran Qwen3.5 35B on my iPhone at 5.6 tok/SEC
by alexintosh·Mar 21, 2026·4 points·2 comments
AI Analysis
●●SolidWizardryBold Bet
Runs 19.5GB Qwen3.5 on 12GB RAM iPhone via memory swapping.
Strengths
- •Achieves usable 5.6 tok/sec speed despite heavy memory swapping on iOS.
- •Demonstrates 4-bit quantization efficiency on mobile hardware constraints successfully.
- •Video proof validates on-device inference without cloud dependency.
Weaknesses
- •No linked repository or build instructions to replicate the setup.
- •Relies on specific iPhone model with unified memory architecture.
Category
Target Audience
Mobile AI developers, quantization enthusiasts
Similar To
MLC LLM · llama.cpp
Post Description
I'm pretty confident I can run the 397B-A17B next.
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