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What hardware runs GLM 4.5 Air?

GLM 4.5 Air is a 110.47B-parameter mixture-of-experts model with 14.96B active parameters (mit license). The community's favorite big MoE: agentic coding chops and genuinely good prose in one 12B-active package.

All figures assume an f16 KV cache, a 0.6 GB display reserve on the GPU, and 64 GB of DDR5 system RAM for the offload tiers. Tune these in the calculator.

Minimum VRAM by quant and context

QuantFile size8K16K32K64K128K
Q2_K *42.2 GB45.5 GB47 GB50 GB56 GB68 GB
Q3_K_M53.3 GB56.6 GB58.1 GB61.1 GB67.1 GB79.1 GB
Q4_K_M68.0 GB71.3 GB72.8 GB75.8 GB81.8 GB93.8 GB
Q5_K_M77.8 GB81.1 GB82.6 GB85.6 GB91.6 GB103.6 GB
Q6_K92.2 GB95.5 GB97 GB100 GB106 GB118 GB
Q8_0109.4 GB112.7 GB114.2 GB117.2 GB123.2 GB135.2 GB
IQ4_XS56.3 GB59.6 GB61.1 GB64.1 GB70.1 GB82.1 GB

Full-GPU figures: weights + f16 KV cache + overhead. * below our recommended floor of Q3_K_M.

GPU compatibility

GPU8K16K32K64K128K
NVIDIA GeForce RTX 5090IQ4_XSIQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 5080IQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 5070 TiIQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 5070IQ4_XSIQ4_XSQ3_K_M
NVIDIA GeForce RTX 5060 Ti 16GBIQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 5060IQ4_XSIQ4_XS
NVIDIA GeForce RTX 4090IQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 4080 SUPERIQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 4070 Ti SUPERIQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 4070IQ4_XSIQ4_XSQ3_K_M
NVIDIA GeForce RTX 4060 Ti 16GBIQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 4060IQ4_XSIQ4_XS
NVIDIA GeForce RTX 3090IQ4_XSIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 3080 10GBIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce RTX 3070IQ4_XSIQ4_XS
NVIDIA GeForce RTX 3060 TiIQ4_XSIQ4_XS
NVIDIA GeForce RTX 3060 12GBIQ4_XSIQ4_XSQ3_K_M
NVIDIA GeForce RTX 2080 TiIQ4_XSIQ4_XSIQ4_XS
NVIDIA GeForce GTX 1080 TiIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 9070 XTIQ4_XSIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 7900 XTXIQ4_XSIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 7900 XTIQ4_XSIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 7800 XTIQ4_XSIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 7600 XTIQ4_XSIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 6800 XTIQ4_XSIQ4_XSIQ4_XSIQ4_XS
AMD Radeon RX 6700 XTIQ4_XSIQ4_XSQ3_K_M
Intel Arc B580IQ4_XSIQ4_XSQ3_K_M
Intel Arc A770 16GBIQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M2 (16GB)IQ4_XSIQ4_XSQ3_K_M
Apple M2 Pro (32GB)IQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M2 Max (64GB)IQ4_XSIQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M2 Ultra (128GB)Q6_KQ5_K_MQ5_K_MQ5_K_MQ4_K_M
Apple M3 (16GB)IQ4_XSIQ4_XSQ3_K_M
Apple M3 Pro (36GB)IQ4_XSIQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M3 Max (64GB)IQ4_XSIQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M3 Ultra (96GB)Q4_K_MIQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M4 (16GB)IQ4_XSIQ4_XSQ3_K_M
Apple M4 Pro (48GB)IQ4_XSIQ4_XSIQ4_XSIQ4_XSIQ4_XS
Apple M4 Max (64GB)IQ4_XSIQ4_XSIQ4_XSIQ4_XSIQ4_XS
CPU only / integrated graphics

Fits on GPUExpert offloadPartial offloadCPU only

Quant guidance

Our floor for GLM 4.5 Air is Q3_K_M — below that, quality degrades faster than the VRAM savings are worth (large models tolerate low bpw better than small ones, which is why the floor is lower here). Prefer the highest quant that still lands "Fits on GPU" or “Expert offload” at your context length in the table above.

Recommended run command

Q3_K_M at 32K on a NVIDIA GeForce RTX 5070-class GPU (Expert offload):

llama-server -m GLM-4.5-Air-Q3_K_M.gguf -c 32768 --flash-attn -ngl 99 --n-cpu-moe 46

Frequently asked questions

How much VRAM does GLM 4.5 Air need?

At Q3_K_M and 32K context, GLM 4.5 Air needs about 61.1 GB of VRAM to run fully on GPU (weights + KV cache + overhead). As a mixture-of-experts model it can also run with far less VRAM via expert offload, keeping experts in system RAM.

What is the smallest GPU that can run GLM 4.5 Air?

The NVIDIA GeForce RTX 5070 (12 GB) is the smallest GPU in our set that runs GLM 4.5 Air well at 32K context, using expert offload with 64 GB of system RAM.

What quantization should I use for GLM 4.5 Air?

We recommend Q3_K_M or higher. Q4_K_M weighs 68.0 GB (5.28 bits/weight); going below Q3_K_M costs noticeable quality on a model this size.

How long a context can GLM 4.5 Air handle?

GLM 4.5 Air supports up to 128K tokens. KV cache grows linearly with context.

Can I run GLM 4.5 Air without a GPU?

Not realistically — even at 8K context the weights don't fit in 64 GB of system RAM.

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