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Can the NVIDIA RTX 4080 Super run GLM-4.5-Air 106B-A12B?

RTX 4080 Super × GLM-4.5-Air 106B-A12B8K context
NoDoes not fit in memory
Memory at Q4_K_M66.4 GB of 16 GB
Weights 64.3 GBKV cache 1.5 GBRuntime 0.6 GB
On the GPU22%of the Q4_K_M weights
In system RAM50.4 GBthe rest spills over
Offload speed~6.2tokens per second
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

No. Even at Q4_K_M, GLM-4.5-Air 106B-A12B needs about 66.4 GB, but the NVIDIA RTX 4080 Super has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4080 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality214.1 GBToo big—
Q8_0Near-lossless114.8 GBToo big—
Q6_KExcellent89.1 GBToo big—
Q5_K_MVery good77.5 GBToo big—
Q4_K_MGood, most popular66.4 GBToo big—
Q3_K_MNoticeably degraded54 GBToo big—
Q2_KHeavily degraded41.9 GBToo big—

Measured speed from real RTX 4080 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4080 Super, next to our estimate.

No one has measured GLM-4.5-Air 106B-A12B on the NVIDIA RTX 4080 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4080 Super? Add your real speed

One command times GLM-4.5-Air 106B-A12B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh

Windows (PowerShell)

irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run GLM-4.5-Air 106B-A12B comfortably

Check RTX PRO 6000 Blackwell prices

Models that run well on the NVIDIA RTX 4080 Super

Frequently asked questions

Can NVIDIA RTX 4080 Super run GLM-4.5-Air 106B-A12B?

No. Even at Q4_K_M, GLM-4.5-Air 106B-A12B needs about 66.4 GB, but the NVIDIA RTX 4080 Super has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does GLM-4.5-Air 106B-A12B need?

About 66.4 GB at Q4_K_M with 8,192 tokens of context, and about 214.1 GB at full FP16 precision.

How fast is GLM-4.5-Air 106B-A12B on the NVIDIA RTX 4080 Super?

It does not fit in the NVIDIA RTX 4080 Super's memory, so most layers would run from system RAM and generation would be very slow.