GLM 4.5 Air — Hardware Requirements & GPU Compatibility
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GLM 4.5 Air is a 110.5B-parameter open language model from Z.ai in the GLM 4 family. It supports a context window of up to 131,072 tokens. At Q4_K_M it needs about 66.71 GB of VRAM — see which GPUs and Macs can run it below.
469.6K downloads
618 likesSpecifications
- Publisher
- Z.ai
- Family
- GLM 4
- Parameters
- 110.5B
- Architecture
- Glm4MoeForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 151,552
- Release Date
- 2025-07-20
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does GLM 4.5 Air Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 47.4 GB | 55.5 GB | 46.95 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 48.8 GB | 56.9 GB | 48.33 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 54.3 GB | 62.4 GB | 53.85 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 55.7 GB | 63.8 GB | 55.23 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 66.7 GB | 74.8 GB | 66.28 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 79.1 GB | 87.2 GB | 78.71 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 91.6 GB | 99.7 GB | 91.14 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 110.9 GB | 119 GB | 110.47 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run GLM 4.5 Air?
Q4_K_M · 66.7 GBGLM 4.5 Air (Q4_K_M) requires 66.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 87+ GB is recommended. Using the full 131K context window can add up to 8.1 GB, bringing total usage to 74.8 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run GLM 4.5 Air?
Q4_K_M · 66.7 GB19 devices with unified memory can run GLM 4.5 Air, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightWhere to Download GLM 4.5 Air
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Benchmarks
Benchmark details →Related Models
Frequently Asked Questions
- How much VRAM does GLM 4.5 Air need?
GLM 4.5 Air requires 66.7 GB of VRAM at Q4_K_M, or 221.4 GB at BF16. Full 131K context adds up to 8.1 GB (74.8 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 110.5B × 4.8 bits ÷ 8 = 66.3 GB
KV Cache + Overhead ≈ 0.4 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 8.5 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M66.7 GBQ4_K_M + full context74.8 GB- Can NVIDIA GeForce RTX 5090 run GLM 4.5 Air?
Yes, at IQ2_XXS (30.8 GB) or lower. Higher quantizations like IQ2_XS (33.6 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for GLM 4.5 Air?
For GLM 4.5 Air, Q4_K_M (66.7 GB) offers the best balance of quality and VRAM usage. Q5_K_S (76.4 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 30.8 GB.
VRAM requirement by quantization
IQ2_XXS30.8 GBIQ3_XS46.0 GBQ3_K_L57.0 GBQ4_K_M ★66.7 GBQ5_K_S76.4 GBBF16221.4 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run GLM 4.5 Air on a Mac?
GLM 4.5 Air requires at least 30.8 GB at IQ2_XXS, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run GLM 4.5 Air locally?
Yes — GLM 4.5 Air can run locally on consumer hardware. At Q4_K_M quantization it needs 66.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is GLM 4.5 Air?
At Q4_K_M, GLM 4.5 Air can reach ~66 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 66.7 × 0.65 = ~78 tok/s
Estimated speed at Q4_K_M (66.7 GB)
~78 tok/s~78 tok/s~66 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of GLM 4.5 Air?
At Q4_K_M, the download is about 66.28 GB. The full-precision BF16 version is 220.94 GB. The smallest option (IQ2_XXS) is 30.38 GB.
- Which GPUs can run GLM 4.5 Air?
No single consumer GPU has enough VRAM to run GLM 4.5 Air at Q4_K_M (66.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run GLM 4.5 Air?
19 devices with unified memory can run GLM 4.5 Air at Q4_K_M (66.7 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.