GLM 4.6 Derestricted — Hardware Requirements & GPU Compatibility
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GLM 4.6 Derestricted is a 356.8B-parameter open language model from ArliAI in the GLM 4 family. It supports a context window of up to 202,752 tokens. At Q4_K_M it needs about 214.69 GB of VRAM — see which GPUs and Macs can run it below.
1.9K downloads
93 likesSpecifications
- Publisher
- ArliAI
- Family
- GLM 4
- Parameters
- 356.8B
- Architecture
- Glm4MoeForCausalLM
- Context Length
- 202,752 tokens
- Vocabulary Size
- 151,552
- Release Date
- 2025-12-02
- License
- MIT
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HuggingFace
How Much VRAM Does GLM 4.6 Derestricted Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 152.3 GB | 183.8 GB | 151.63 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 156.7 GB | 188.2 GB | 156.09 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 174.6 GB | 206.1 GB | 173.93 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 179.0 GB | 210.5 GB | 178.39 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 214.7 GB | 246.2 GB | 214.07 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 254.8 GB | 286.3 GB | 254.21 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 295.0 GB | 326.5 GB | 294.35 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 357.4 GB | 388.9 GB | 356.79 GB | 8-bit quantization, near-lossless |
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 4.6 Derestricted?
Q4_K_M · 214.7 GBGLM 4.6 Derestricted (Q4_K_M) requires 214.7 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 280+ GB is recommended. Using the full 203K context window can add up to 31.5 GB, bringing total usage to 246.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run GLM 4.6 Derestricted?
Q4_K_M · 214.7 GB3 devices with unified memory can run GLM 4.6 Derestricted, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomWhere to Download GLM 4.6 Derestricted
Community quantizations of this model — GGUF for llama.cpp, Ollama, and LM Studio, plus AWQ/MLX variants where available.
Related Models
Frequently Asked Questions
- How much VRAM does GLM 4.6 Derestricted need?
GLM 4.6 Derestricted requires 214.7 GB of VRAM at Q4_K_M, or 714.2 GB at BF16. Full 203K context adds up to 31.5 GB (246.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 356.8B × 4.8 bits ÷ 8 = 214.1 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 32.1 GB (at full 203K context)
VRAM usage by quantization
Q4_K_M214.7 GBQ4_K_M + full context246.2 GB- Can NVIDIA GeForce RTX 5090 run GLM 4.6 Derestricted?
No — GLM 4.6 Derestricted requires at least 98.7 GB at IQ2_XXS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for GLM 4.6 Derestricted?
For GLM 4.6 Derestricted, Q4_K_M (214.7 GB) offers the best balance of quality and VRAM usage. Q5_K_S (245.9 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 98.7 GB.
VRAM requirement by quantization
IQ2_XXS98.7 GBIQ3_XS147.8 GBQ3_K_L183.5 GBQ4_K_M ★214.7 GBQ5_K_S245.9 GBBF16714.2 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run GLM 4.6 Derestricted on a Mac?
GLM 4.6 Derestricted requires at least 98.7 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 4.6 Derestricted locally?
Yes — GLM 4.6 Derestricted can run locally on consumer hardware. At Q4_K_M quantization it needs 214.7 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is GLM 4.6 Derestricted?
At Q4_K_M, GLM 4.6 Derestricted can reach ~21 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 B300 → 8000 ÷ 214.7 × 0.65 = ~24 tok/s
Estimated speed at Q4_K_M (214.7 GB)
~24 tok/s~21 tok/s~21 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of GLM 4.6 Derestricted?
At Q4_K_M, the download is about 214.07 GB. The full-precision BF16 version is 713.57 GB. The smallest option (IQ2_XXS) is 98.12 GB.
- Which GPUs can run GLM 4.6 Derestricted?
No single consumer GPU has enough VRAM to run GLM 4.6 Derestricted at Q4_K_M (214.7 GB). Multi-GPU or professional hardware is required.
- Which devices can run GLM 4.6 Derestricted?
4 devices with unified memory can run GLM 4.6 Derestricted at Q4_K_M (214.7 GB), including Mac Studio (M3 Ultra, 256GB), Mac Studio (M3 Ultra, 512GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.