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Can the NVIDIA RTX 2080 Ti run GLM-4.7 Flash 30B-A3B?

RTX 2080 Ti × GLM-4.7 Flash 30B-A3B8K context
NoDoes not fit in memory
Memory at Q4_K_M20 GB of 11 GB
Weights 18.9 GBKV cache 0.4 GBRuntime 0.6 GB
On the GPU53%of the Q4_K_M weights
In system RAM9 GBthe rest spills over
Offload speed~38tokens 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-4.7 Flash 30B-A3B needs about 20 GB, but the NVIDIA RTX 2080 Ti has 11 GB usable. You could offload some layers to system RAM, but it will be very slow.

Try other context lengths

Run it on a rented GPU

On a cloud GPU with enough memory, the same command you'd use locally works:

ollama run glm-4.7-flash

At Q4_K_M it needs about 20 GB, so pick a GPU with at least 24 GB.

New to this? Step-by-step setup for the RTX 2080 Ti

Run it in the cloud

Too big for the NVIDIA RTX 2080 Ti? Run GLM-4.7 Flash 30B-A3B on a rented GPU instead.

Rent a cloud GPU by the hour. No upfront cost, stop any time. Not sure whether to rent or buy? Compare the cost.

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 11 GB the NVIDIA RTX 2080 Ti can use.

QuantQualityMemoryFits?Speed
FP16Full quality63.4 GBToo big—
Q8_0Near-lossless34.2 GBToo big—
Q6_KExcellent26.6 GBToo big—
Q5_K_MVery good23.2 GBToo big—
Q4_K_MGood, most popular20 GBToo big—
Q3_K_MNoticeably degraded16.3 GBToo big—
Q2_KHeavily degraded12.7 GBToo big—

Measured speed from real RTX 2080 Ti owners

Tokens per second that people measured on their own NVIDIA RTX 2080 Ti, next to our estimate.

No one has measured GLM-4.7 Flash 30B-A3B on the NVIDIA RTX 2080 Ti yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 2080 Ti? Add your real speed

One command times GLM-4.7 Flash 30B-A3B 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 -s -- glm-4.7-flash

Windows (PowerShell)

$env:GPUFIT_MODEL="glm-4.7-flash"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run GLM-4.7 Flash 30B-A3B comfortably

Check Radeon RX 7900 XT prices

Models that run well on the NVIDIA RTX 2080 Ti

Frequently asked questions

Can NVIDIA RTX 2080 Ti run GLM-4.7 Flash 30B-A3B?

No. Even at Q4_K_M, GLM-4.7 Flash 30B-A3B needs about 20 GB, but the NVIDIA RTX 2080 Ti has 11 GB usable. You could offload some layers to system RAM, but it will be very slow.

How much VRAM does GLM-4.7 Flash 30B-A3B need?

About 20 GB at Q4_K_M with 8,192 tokens of context, and about 63.4 GB at full FP16 precision.

How fast is GLM-4.7 Flash 30B-A3B on the NVIDIA RTX 2080 Ti?

It does not fit in the NVIDIA RTX 2080 Ti's memory, so most layers would run from system RAM and generation would be very slow.