Check my GPU

LLMs ·

GLM-4.6V

Parameters
108B (12.0B active)
Architecture
Mixture of experts
Max context
128K tokens
License
mit
Released
2025-12

How to run it

Quantized files · GGUF

Works in LM Studio, llama.cpp, Jan and Ollama. No sign-in needed.

huggingface.co/unsloth/GLM-4.6V-GGUF (opens in a new tab)

ollama run hf.co/unsloth/GLM-4.6V-GGUF

Original weights · Hugging Face

Full-precision files from Zhipu AI, for fine-tuning, vLLM, Transformers.

huggingface.co/zai-org/GLM-4.6V (opens in a new tab)

No sign-in needed.

Links checked 7 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Weights plus KV cache and runtime overhead. Leave a little extra free for the operating system and other apps.

Quantization Quality Weights Total at 8K context Total at 32K context Download
Q2_K Low 43.1 GB 45.2 GB 49.9 GB GGUF (opens in a new tab)
Q3_K_M Low 52.8 GB 54.9 GB 59.6 GB GGUF · folder (opens in a new tab)
Q4_K_M Good 65.7 GB 67.8 GB 72.5 GB GGUF · folder (opens in a new tab)
Q5_K_M High 76.5 GB 78.6 GB 83.2 GB GGUF · folder (opens in a new tab)
Q6_K High 88.3 GB 90.5 GB 95.1 GB GGUF · folder (opens in a new tab)
Q8_0 Very high 114 GB 116 GB 121 GB GGUF · folder (opens in a new tab)
F16 Full 215 GB 218 GB 222 GB GGUF · folder (opens in a new tab) Original weights (opens in a new tab)

Best hardware for GLM-4.6V

The least expensive GPU in our catalog that runs it without offloading is the AMD Radeon PRO W7800 48GB (launch price $2,799) at Q2_K.

Grade · points Hardware Quant Memory Speed Fit
90 ptsExcellent (S) · 90 of 100 points: Model quality 37.0/45, Memory fit 24.0/25, Speed 15.0/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell Q6_K 95.3 GB / 96.0 GB 63.6 tok/s Tight fit
87 ptsExcellent (S) · 87 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 14.1/15, Memory use 12.7/15 Apple M2 Ultra (192 GB) Q4_K_M 79.4 GB / 144 GB 35.2 tok/s Runs well
87 ptsExcellent (S) · 87 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 11.6/15, Memory use 15.0/15 Apple M4 Max (128 GB) Q4_K_M 75.5 GB / 96.0 GB 24.0 tok/s Runs well
84 ptsGreat (A) · 84 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 14.2/15, Memory use 10.0/15 Apple M3 Ultra (256 GB) Q4_K_M 83.2 GB / 192 GB 36.1 tok/s Runs well
84 ptsGreat (A) · 84 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 8.9/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) Q4_K_M 77.1 GB / 115 GB 14.0 tok/s Runs well
83 ptsGreat (A) · 83 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 8.0/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) Q4_K_M 75.5 GB / 96.0 GB 11.3 tok/s Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 35.5/45, Memory fit 25.0/25, Speed 14.2/15, Memory use 5.9/15 Apple M3 Ultra (512 GB) Q4_K_M 98.6 GB / 384 GB 36.1 tok/s Runs well
64 ptsGood (B) · 64 of 100 points: Model quality 26.1/45, Memory fit 10.0/25, Speed 13.7/15, Memory use 15.0/15 Apple M4 Max (64 GB) Q2_K 49.1 GB / 48.0 GB 33.6 tok/s Runs with offload
62 ptsGood (B) · 62 of 100 points: Model quality 26.1/45, Memory fit 10.0/25, Speed 11.8/15, Memory use 15.0/15 Apple M1 Max (64 GB) Q2_K 49.1 GB / 48.0 GB 24.6 tok/s Runs with offload
54 ptsUsable (C) · 54 of 100 points: Model quality 26.1/45, Memory fit 4.0/25, Speed 9.2/15, Memory use 15.0/15 NVIDIA GeForce RTX 5090 Q2_K 46.8 GB / 32.0 GB 15.2 tok/s Heavy offload

Check it on your own hardware

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.