Can the NVIDIA RTX 4070 Ti Super run GLM-5 744B-A40B?
- FP16
- Q8_0
- Q6_K
- Q5_K_M
- Q4_K_M
- Q3_K_M
- Q2_K
No. Even at Q4_K_M, GLM-5 744B-A40B needs about 452.4 GB, but the NVIDIA RTX 4070 Ti Super has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.
Run it in the cloud
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Memory needed by quantization
At 8,192 tokens of context. The black line marks the 16 GB the NVIDIA RTX 4070 Ti Super can use.
| Quant | Quality | Memory | Fits? | Speed | |
|---|---|---|---|---|---|
| FP16 | Full quality | 1489.3 GB | Too big | — | |
| Q8_0 | Near-lossless | 791.8 GB | Too big | — | |
| Q6_K | Excellent | 611.4 GB | Too big | — | |
| Q5_K_M | Very good | 530.5 GB | Too big | — | |
| Q4_K_M | Good, most popular | 452.4 GB | Too big | — | |
| Q3_K_M | Noticeably degraded | 365 GB | Too big | — | |
| Q2_K | Heavily degraded | 280.3 GB | Too big | — |
Measured speed from real RTX 4070 Ti Super owners
Tokens per second that people measured on their own NVIDIA RTX 4070 Ti Super, next to our estimate.
No one has measured GLM-5 744B-A40B on the NVIDIA RTX 4070 Ti Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.
Have an RTX 4070 Ti Super? Add your real speed
One command times GLM-5 744B-A40B 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 | shWindows (PowerShell)
irm https://gpufit.dev/bench.ps1 | iexModels that run well on the NVIDIA RTX 4070 Ti Super
Frequently asked questions
Can NVIDIA RTX 4070 Ti Super run GLM-5 744B-A40B?
No. Even at Q4_K_M, GLM-5 744B-A40B needs about 452.4 GB, but the NVIDIA RTX 4070 Ti Super has 16 GB usable. You could offload some layers to system RAM, but it will be very slow.
How much VRAM does GLM-5 744B-A40B need?
About 452.4 GB at Q4_K_M with 8,192 tokens of context, and about 1489.3 GB at full FP16 precision.
How fast is GLM-5 744B-A40B on the NVIDIA RTX 4070 Ti Super?
It does not fit in the NVIDIA RTX 4070 Ti Super's memory, so most layers would run from system RAM and generation would be very slow.