Can I Run GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 4060?
Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, but it's tight — GLM-5 9B at Q4_K_M needs 7.4 GB at 8K context (5.4 GB weights + 2 GB KV cache/overhead), leaving ~0.6 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~38 tok/s (est.), with room for up to 8K context.
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NVIDIA GeForce RTX 4060 Specs
| VRAM | 8 GB |
| Memory Bandwidth | 272 GB/s |
GLM-5 9B on the NVIDIA GeForce RTX 4060: VRAM by quantization
| Quant | VRAM needed | Fits 8 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 20 GB | ✗ No | — | — |
| Q8_0 | 11.6 GB | ✗ No | — | — |
| Q6_K | 9.4 GB | ✗ No | — | — |
| Q5_K_M | 8.4 GB | ✗ No | — | — |
| Q4_K_M | 7.4 GB | ✓ Yes | 8K | — |
| Q3_K_M | 5.8 GB | ✓ Yes | 16K | — |
| Q2_K | 5 GB | ✓ Yes | 16K | — |
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 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 4060: 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.
No compatible GPU? GLM-5 9B on 8 GB of system RAM, CPU only: runs, but it is tight.
GLM-5 / GLM-5.1 Sizes That Fit the NVIDIA GeForce RTX 4060 (at 8K context)
| GLM-5 9B | Q4_K_M · 7.4 GB at 8K context · ~38 tok/s (est.) |
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FAQ
Will GLM-5 / GLM-5.1 run on the NVIDIA GeForce RTX 4060?
Yes, but it's tight — GLM-5 9B at Q4_K_M needs 7.4 GB at 8K context (5.4 GB weights + 2 GB KV cache/overhead), leaving ~0.6 GB of the NVIDIA GeForce RTX 4060's 8 GB, at ~38 tok/s (est.), with room for up to 8K context.
Which GLM-5 / GLM-5.1 variant fits best on the NVIDIA GeForce RTX 4060?
GLM-5 9B at Q4_K_M quantization needs 7.4 GB at 8K context (5.4 GB weights + 2 GB KV cache/overhead), estimated ~38 tokens/sec, up to 8K context.
GLM-5 / GLM-5.1 on Other GPUs
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5060 Ti 8GB
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5060
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 3070 Ti
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 3070
- GLM-5 / GLM-5.1 on AMD Radeon RX 9060 XT 8GB
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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
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