GLM 4.6V — Hardware Requirements & GPU Compatibility
Vision
GLM 4.6V is a 107.7B-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 65.06 GB of VRAM — see which GPUs and Macs can run it below.
4.6K downloads
394 likesSpecifications
- Publisher
- Z.ai
- Family
- GLM 4
- Parameters
- 107.7B
- Architecture
- Glm4vMoeForConditionalGeneration
- Context Length
- 131,072 tokens
- Vocabulary Size
- 151,552
- Release Date
- 2025-12-07
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does GLM 4.6V Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 46.2 GB | 54.3 GB | 45.78 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 47.5 GB | 55.7 GB | 47.12 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 52.9 GB | 61.0 GB | 52.51 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 54.3 GB | 62.4 GB | 53.86 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 65.1 GB | 73.2 GB | 64.63 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 77.2 GB | 85.3 GB | 76.74 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 89.3 GB | 97.4 GB | 88.86 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 108.1 GB | 116.2 GB | 107.71 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run GLM 4.6V?
Q4_K_M · 65.1 GBGLM 4.6V (Q4_K_M) requires 65.1 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 85+ GB is recommended. Using the full 131K context window can add up to 8.1 GB, bringing total usage to 73.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run GLM 4.6V?
Q4_K_M · 65.1 GB19 devices with unified memory can run GLM 4.6V, 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 4.6V
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 4.6V need?
GLM 4.6V requires 65.1 GB of VRAM at Q4_K_M, or 215.8 GB at BF16. Full 131K context adds up to 8.1 GB (73.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 107.7B × 4.8 bits ÷ 8 = 64.6 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 8.6 GB (at full 131K context)
VRAM usage by quantization
Q4_K_M65.1 GBQ4_K_M + full context73.2 GB- Can NVIDIA GeForce RTX 5090 run GLM 4.6V?
Yes, at IQ2_XXS (30.1 GB) or lower. Higher quantizations like IQ2_M (36.8 GB) exceed the NVIDIA GeForce RTX 5090's 32 GB.
- What's the best quantization for GLM 4.6V?
For GLM 4.6V, Q4_K_M (65.1 GB) offers the best balance of quality and VRAM usage. Q5_K_S (74.5 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 30.1 GB.
VRAM requirement by quantization
IQ2_XXS30.1 GBQ3_K_S47.5 GBQ4_161.0 GBQ4_K_M ★65.1 GBQ5_K_S74.5 GBBF16215.8 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run GLM 4.6V on a Mac?
GLM 4.6V requires at least 30.1 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 4.6V locally?
Yes — GLM 4.6V can run locally on consumer hardware. At Q4_K_M quantization it needs 65.1 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is GLM 4.6V?
At Q4_K_M, GLM 4.6V can reach ~68 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 ÷ 65.1 × 0.65 = ~80 tok/s
Estimated speed at Q4_K_M (65.1 GB)
~80 tok/s~80 tok/s~68 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of GLM 4.6V?
At Q4_K_M, the download is about 64.63 GB. The full-precision BF16 version is 215.42 GB. The smallest option (IQ2_XXS) is 29.62 GB.
- Which GPUs can run GLM 4.6V?
No single consumer GPU has enough VRAM to run GLM 4.6V at Q4_K_M (65.1 GB). Multi-GPU or professional hardware is required.
- Which devices can run GLM 4.6V?
19 devices with unified memory can run GLM 4.6V at Q4_K_M (65.1 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.