Can I Run GLM-5 / GLM-5.1 on MacBook Air (M4, 16 GB)?
Autor: Jakub Rusinowski · Ostatnia aktualizacja: 1 maja 2026
No
No — GLM-5 / GLM-5.1 does not fit in MacBook Air (M4, 16 GB). Even at Q2_K it needs about 250.6 GB against 12 GB usable, a shortfall of roughly 238.6 GB.
Confidence: medium
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MacBook Air (M4, 16 GB) — what it gives a model
| Usable memory for models | 12 GB |
| Memory bandwidth | 120 GB/s |
| Form factor | Laptop |
| Operating system | macOS |
| Memory upgradeable | No — soldered |
GLM-5 / GLM-5.1 on MacBook Air (M4, 16 GB): memory by quantization
| Quant | Memory needed | Fits 12 GB? | Max context | Est. speed | Download |
|---|---|---|---|---|---|
| F16 | 1494 GB | ✗ No | — | — | 1488 GB |
| Q8_0 | 796.5 GB | ✗ No | — | — | 790.5 GB |
| Q6_K | 616.1 GB | ✗ No | — | — | 610.1 GB |
| Q5_K_M | 533.3 GB | ✗ No | — | — | 527.3 GB |
| Q4_K_M | 455.2 GB | ✗ No | — | — | 449.2 GB |
| Q3_K_M | 323.2 GB | ✗ No | — | — | 317.1 GB |
| Q2_K | 250.6 GB | ✗ No | — | — | 244.6 GB |
What to watch out for
- This model does not publish its full attention configuration, so the KV-cache share of these figures is inferred from its parameter count rather than computed exactly.
- Memory on this machine is not upgradeable, so the configuration you buy is the ceiling for every model you will ever run on it.
MacBook Air M4 16 GB limitations
- Fanless: sustained generation throttles on long runs in a way the same chip in a MacBook Pro does not.
- 16 GB unified memory is shared with the OS and every open app.
Recommended setup
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
How these numbers are calculated
- Memory need = quantized weights + KV cache at 8,192 tokens (f16) + 0.8 GB runtime overhead.
- 16 GB unified memory at 120 GB/s, shared between CPU and GPU.
- macOS reserves a share of unified memory for the system, so not all of it is available to a model.
- Throughput is a memory-bandwidth roofline estimate, not a measurement. It is labelled "estimated" everywhere it appears.
- KV cache is inferred from the parameter count because this model does not publish its full attention configuration.
FAQ
Can I run GLM-5 / GLM-5.1 on MacBook Air (M4, 16 GB)?
No — GLM-5 / GLM-5.1 does not fit in MacBook Air (M4, 16 GB). Even at Q2_K it needs about 250.6 GB against 12 GB usable, a shortfall of roughly 238.6 GB.
What limits GLM-5 / GLM-5.1 on MacBook Air (M4, 16 GB)?
Memory. MacBook Air (M4, 16 GB) provides about 12 GB usable, and the smallest quantization of this model needs 250.6 GB.
Which runtime should I use?
Ollama or LM Studio (Metal) — MLX for the fastest Apple-native throughput
Other Computers
- GLM-5 / GLM-5.1 on MacBook Pro M4 Max 128 GB
- GLM-5 / GLM-5.1 on MacBook Pro M4 Max 48 GB
- GLM-5 / GLM-5.1 on MacBook Pro M4 Pro 24 GB
Other Models on MacBook Air (M4, 16 GB)
- GPT-OSS on MacBook Air (M4, 16 GB)
- Granite 3.0 on MacBook Air (M4, 16 GB)
- IBM Granite 4.1 on MacBook Air (M4, 16 GB)
- IBM Granite 4.2 on MacBook Air (M4, 16 GB)
- InternLM 3 on MacBook Air (M4, 16 GB)
GLM-5 / GLM-5.1 on GPUs
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5090
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5070
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5060 Ti 8GB
- GLM-5 / GLM-5.1 on NVIDIA GeForce RTX 5060
What This Model Is Good At
- Best local LLMs for coding
- Best local LLMs for document analysis
- Best local LLMs for enterprise assistant
Model & Tools
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