GLM 4.5 Air Derestricted — Hardware Requirements & GPU Compatibility
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GLM 4.5 Air Derestricted is a 110.5B-parameter open language model from ArliAI 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.
172 downloads
96 likesSpecifications
- Publisher
- ArliAI
- Family
- GLM 4
- Parameters
- 110.5B
- Architecture
- Glm4MoeForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 151,552
- Release Date
- 2025-11-24
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does GLM 4.5 Air Derestricted Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 47.4 GB | 55.5 GB | 46.95 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 54.3 GB | 62.4 GB | 53.85 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 66.7 GB | 74.8 GB | 66.28 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 79.1 GB | 87.2 GB | 78.71 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 91.6 GB | 99.7 GB | 91.14 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 110.9 GB | 119 GB | 110.47 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 221.4 GB | 229.5 GB | 220.94 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run GLM 4.5 Air Derestricted?
Q4_K_M · 66.7 GBGLM 4.5 Air Derestricted (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 Derestricted?
Q4_K_M · 66.7 GB19 devices with unified memory can run GLM 4.5 Air Derestricted, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does GLM 4.5 Air Derestricted need?
GLM 4.5 Air Derestricted 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 Derestricted?
No — GLM 4.5 Air Derestricted requires at least 47.4 GB at Q2_K, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for GLM 4.5 Air Derestricted?
For GLM 4.5 Air Derestricted, Q4_K_M (66.7 GB) offers the best balance of quality and VRAM usage. Q5_K_M (79.1 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 47.4 GB.
VRAM requirement by quantization
Q2_K47.4 GBQ4_K_M ★66.7 GBQ5_K_M79.1 GBQ6_K91.6 GBQ8_0110.9 GBBF16221.4 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run GLM 4.5 Air Derestricted on a Mac?
GLM 4.5 Air Derestricted requires at least 47.4 GB at Q2_K, 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 Derestricted locally?
Yes — GLM 4.5 Air Derestricted 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 Derestricted?
At Q4_K_M, GLM 4.5 Air Derestricted 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 Derestricted?
At Q4_K_M, the download is about 66.28 GB. The full-precision BF16 version is 220.94 GB. The smallest option (Q2_K) is 46.95 GB.
- Which GPUs can run GLM 4.5 Air Derestricted?
No single consumer GPU has enough VRAM to run GLM 4.5 Air Derestricted at Q4_K_M (66.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run GLM 4.5 Air Derestricted?
19 devices with unified memory can run GLM 4.5 Air Derestricted 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.