Qwen3.5 4B Instruct
Qwen3.5 4B Instruct loads in 3.5 GB at Q4_K_M and is comfortable from 8 GB of memory, Macs included from the Mac Mini M6 16GB. Below: the full memory math, the cheapest card that runs it well, and the fastest machine we track.
PARAMETERS
4B
FORMAT
Q4_K_M
MIN MEMORY
6 GB
BEST FOR
Coding, Agents, Multimodal
Memory math
Weights (Q4_K_M)
3.5 GB
+ KV cache (16k)
~0.5 GB
Total at 16k
~4.0 GB
Comfortable from
8 GB
KV = fp16 estimate (q8_0 cache roughly halves it). "Comfortable" = weights + KV within the engine's tiered budget (~70-85% of memory).
Hardware snapshot
Go deeper
Every Qwen3.5 4B Instruct quant by real GGUF file sizeAlso tracked: Qwen3.5 4B Instruct (Q8) (Q8_0, 4.3 GB, min 8 GB)
More Qwen models
Qwen3.7-PlusQwen2.5 0.5B InstructQwen3.5 0.8B InstructQwen2.5 1.5B InstructQwen3.5 2B InstructQwen2.5 3B InstructQwen2.5 7B InstructQwen2.5 Coder 7BQwen3 8BQwen3.5 9B InstructQwen2.5 14B InstructQwen2.5 Coder 14BQwen3 14BQwen3.5 27B InstructQwen3.6 27BQwen3.8 27BQwen3 30BQwen3 30B (Q8)Qwen3.5 35B-A3B InstructQwen3.6 35B-A3BQwen3-Next 80B-A3BQwen3.5 122B-A10B InstructQwen3.8-Flash-NextQwen3 235B A22B
Frequently asked questions
How much memory does Qwen3.5 4B Instruct need?
3.5 GB for the Q4_K_M weights, plus ~0.5 GB of KV-cache at 16k context — about 4.0 GB total. Comfortable from 8 GB of VRAM or unified memory.
Does Qwen3.5 4B Instruct run on a Mac?
Yes — from the Mac Mini M6 16GB (~56 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Qwen3.5 4B Instruct?
The AMD Radeon RX 7900 XT is the cheapest tracked card that runs Qwen3.5 4B Instruct comfortably — ~133 tok/s est. at ~$550 used.
Cite this page
ModelFit: Qwen3.5 4B Instruct — specs, memory math and hardware verdicts. https://modelfit.io/models/qwen3.5-4b/ (dataset updated 2026-09-03, CC BY 4.0).