GLM 4.5 Air — Hardware Requirements & GPU Compatibility
Chat
GLM 4.5 Air is a 110.5B-parameter open language model from zai-org in the GLM 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.
359.8K downloads
606 likesSpecifications
- Publisher
- zai-org
- Family
- GLM
- Parameters
- 110.5B
- Architecture
- Glm4MoeForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 151,552
- Release Date
- 2025-08-11
- 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 GB5 devices with unified memory can run GLM 4.5 Air, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Benchmarks
View all 1 →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 110.9 GB at Q8_0. 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_M (37.7 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 GBQ3_K_S48.8 GBQ4_162.6 GBQ4_K_M ★66.7 GBQ5_K_S76.4 GBQ8_0110.9 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 ~44 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 66.7 × 0.55 = ~44 tok/s
Estimated speed at Q4_K_M (66.7 GB)
~44 tok/s~33 tok/s~27 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 Q8_0 version is 110.47 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?
5 devices with unified memory can run GLM 4.5 Air at Q4_K_M (66.7 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), NVIDIA DGX A100 640GB. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.