Qwen3.5 27B Instruct
Qwen3.5 27B Instruct loads in 16 GB at Q4_K_M and is comfortable from 32 GB of memory, Macs included from the MacBook Air M5 24GB. Below: the full memory math, the cheapest card that runs it well, and the fastest machine we track.
PARAMETERS
27B
FORMAT
Q4_K_M
MIN MEMORY
24 GB
BEST FOR
Chat, Coding, Complex reasoning
Memory math
Weights (Q4_K_M)
16 GB
+ KV cache (16k)
~1.0 GB
Total at 16k
~17.0 GB
Comfortable from
32 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 27B Instruct quant by real GGUF file sizeAlso tracked: Qwen3.5 27B Instruct (Q8) (Q8_0, 27.1 GB, min 48 GB)
More Qwen models
Qwen3.7-PlusQwen2.5 0.5B InstructQwen3.5 0.8B InstructQwen2.5 1.5B InstructQwen3.5 2B InstructQwen2.5 3B InstructQwen3.5 4B InstructQwen2.5 7B InstructQwen2.5 Coder 7BQwen3 8BQwen3.5 9B InstructQwen2.5 14B InstructQwen2.5 Coder 14BQwen3 14BQwen3.6 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 27B Instruct need?
16 GB for the Q4_K_M weights, plus ~1.0 GB of KV-cache at 16k context — about 17.0 GB total. Comfortable from 32 GB of VRAM or unified memory.
Does Qwen3.5 27B Instruct run on a Mac?
Yes — from the MacBook Air M5 24GB (~7 tok/s est.). Unified memory means the RAM budget is the only limit.
What is the cheapest GPU for Qwen3.5 27B Instruct?
The AMD Radeon RX 7900 XT is the cheapest tracked card that runs Qwen3.5 27B Instruct comfortably — ~26 tok/s est. at ~$550 used.
Cite this page
ModelFit: Qwen3.5 27B Instruct — specs, memory math and hardware verdicts. https://modelfit.io/models/qwen3.5-27b/ (dataset updated 2026-09-03, CC BY 4.0).