Autor: Jakub Rusinowski · Ostatnia aktualizacja: 11 września 2026
Yes. GLM-4.7 9B needs 5.4 GB at Q4_K_M and the NVIDIA GeForce RTX 5060 Ti 8GB has 8 GB, leaving about 2.6 GB of headroom, at roughly 55 tok/s (estimated) with room for up to 4K of context.
See what else this hardware can run →
| Model | GLM-4.7 9B |
| Parameters | 9B |
| Quantization | Q4_K_M |
| VRAM needed | 5.4 GB |
| NVIDIA GeForce RTX 5060 Ti 8GB VRAM | 8 GB |
| Verdict | Runs |
| Max context | 4K |
| Estimated speed | ~55 tok/s |
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 19.4 GB | ✗ No | — | — |
| Q8_0 | 11 GB | ✗ No | — | — |
| Q6_K | 8.8 GB | ✗ No | — | — |
| Q5_K_M | 7.8 GB | ✓ Yes | 4K | — |
| Q4_K_M | 6.8 GB | ✓ Yes | 8K | — |
| Q3_K_M | 5.2 GB | ✓ Yes | 16K | — |
| Q2_K | 4.4 GB | ✓ Yes | 16K | — |
Assumes a 4K-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 8 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 5060 Ti 8GB: 8K 7.4 GB · 32K 11.1 GB ✗ · 125K 25.1 GB ✗. Past 32K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
Nothing to change — run it at Q4_K_M. If you want more capability, check whether the next size up also fits.
No compatible GPU? GLM-4.7 9B on 8 GB of system RAM, CPU only: runs, but it is tight.
Running GLM-4.7 9B on this card:
At 2 hrs/day, buying (~$379) beats renting at $0.34/hr after about 19 months.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
All GLM-4.7 / GLM-Z1 sizes on the NVIDIA GeForce RTX 5060 Ti 8GB | GLM-4.7 9B model page | NVIDIA GeForce RTX 5060 Ti 8GB GPU page | Check your hardware