Can I Run GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 4090?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 29 września 2026
No — GLM-5 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the NVIDIA GeForce RTX 4090's 24 GB leaves it ~431.2 GB short.
Get a personalized upgrade path →
lub porównaj w Vast.ai od $0.35/godz. (typical low · varies)
Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.
NVIDIA GeForce RTX 4090 Specs
| VRAM | 24 GB |
| Memory Bandwidth | 1008 GB/s |
GLM-5 744B on the NVIDIA GeForce RTX 4090: VRAM by quantization
| Quant | VRAM needed | Fits 24 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 1494 GB | ✗ No | — | — |
| Q8_0 | 796.5 GB | ✗ No | — | — |
| Q6_K | 616.1 GB | ✗ No | — | — |
| Q5_K_M | 533.3 GB | ✗ No | — | — |
| Q4_K_M | 455.2 GB | ✗ No | — | — |
| Q3_K_M | 323.2 GB | ✗ No | — | — |
| Q2_K | 250.6 GB | ✗ No | — | — |
Assumes an 8K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4090: 8K 455.2 GB ✗ · 32K 470.9 GB ✗ · 128K 533.7 GB ✗. Past 8K it no longer fits 24 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? GLM-5 744B on 256 GB of system RAM, CPU only: still does not fit.
Why It Does Not Fit
Every GLM-5 / GLM-5.1 variant requires more VRAM than the NVIDIA GeForce RTX 4090 provides (24 GB).
GLM-5 / GLM-5.1 needs ~455 GB but this GPU has 24 GB. Rent a 8× H100 (640 GB)-class GPU by the hour instead of buying one:
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Does the NVIDIA GeForce RTX 4090 have enough VRAM for GLM-5 / GLM-5.1?
No — GLM-5 744B at Q4_K_M needs 455.2 GB at 8K context (449.2 GB weights + 6 GB KV cache/overhead), and the NVIDIA GeForce RTX 4090's 24 GB leaves it ~431.2 GB short.
GLM-5 / GLM-5.1 on Other GPUs
Popular Models on the NVIDIA GeForce RTX 4090
- DeepSeek R1 on NVIDIA GeForce RTX 4090
- Qwen 3 on NVIDIA GeForce RTX 4090
- Qwen 2.5 Family on NVIDIA GeForce RTX 4090
VRAM Tier
Troubleshooting
- CUDA out of memory — why it happens and how to fix it
- Which GGUF quant should I download? (Q4 vs Q5 vs Q8)
Buying Guide
← Can I Run It? | GLM-5 / GLM-5.1 Model Page | NVIDIA GeForce RTX 4090 GPU Page | VRAM calculator | Check Your Hardware