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Image models ·

CogView4 6B

Backbone
6.4B
Native output
1024×1024
Default steps
50
License
apache-2.0
Released
2025-03

How to run it

Original weights · Hugging Face

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

huggingface.co/zai-org/CogView4-6B (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Zhipu AI. The weights themselves download from Hugging Face.

github.com/zai-org/CogView4 (opens in a new tab)

git clone https://github.com/zai-org/CogView4

Links checked 5 days ago against Hugging Face, Ollama and GitHub.

Memory needed

Peak GPU memory at the native output size. Offloading moves the text encoder, or the whole pipeline, to system RAM between steps.

Precision Everything on GPU Text encoder offloaded Sequential offload Download
FP16 33.9 GB 15.1 GB 6.7 GB Original weights (opens in a new tab)
FP8 18.2 GB 8.8 GB 4.4 GB Original weights (opens in a new tab)

Components

Best hardware for CogView4 6B

The least expensive GPU in our catalog that runs it without offloading is the Intel Arc A380 (launch price $139) at FP8.

Grade · points Hardware Precision Memory Time per output Fit
82 ptsGreat (A) · 82 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 11.8/15, Memory use 15.0/15 NVIDIA GeForce RTX 4090 FP8 18.2 GB / 24.0 GB 16 s Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 11.2/15, Memory use 15.0/15 AMD Radeon RX 7900 XTX FP8 18.2 GB / 24.0 GB 18 s Runs well
81 ptsGreat (A) · 81 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 12.9/15, Memory use 13.1/15 NVIDIA GeForce RTX 5090 FP8 18.2 GB / 32.0 GB 14 s Runs well
79 ptsGreat (A) · 79 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 8.6/15, Memory use 15.0/15 NVIDIA GeForce RTX 3090 FP8 18.2 GB / 24.0 GB 30 s Runs well
76 ptsGreat (A) · 76 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 4.6/15, Memory use 15.0/15 Apple M4 Max (64 GB) FP16 33.9 GB / 48.0 GB 1.8 min Runs well
75 ptsGreat (A) · 75 of 100 points: Model quality 31.5/45, Memory fit 25.0/25, Speed 3.7/15, Memory use 15.0/15 Apple M1 Max (64 GB) FP16 33.9 GB / 48.0 GB 2.7 min Runs well
74 ptsGreat (A) · 74 of 100 points: Model quality 30.9/45, Memory fit 20.0/25, Speed 8.4/15, Memory use 15.0/15 NVIDIA GeForce RTX 4070 SUPER FP8 8.8 GB / 12.0 GB 32 s Runs well
74 ptsGreat (A) · 74 of 100 points: Model quality 30.9/45, Memory fit 25.0/25, Speed 13.8/15, Memory use 4.4/15 NVIDIA RTX PRO 6000 Blackwell FP8 18.2 GB / 96.0 GB 12 s Runs well
73 ptsGreat (A) · 73 of 100 points: Model quality 30.9/45, Memory fit 20.0/25, Speed 10.0/15, Memory use 12.6/15 AMD Radeon RX 9070 XT FP8 8.8 GB / 16.0 GB 23 s Runs well
73 ptsGreat (A) · 73 of 100 points: Model quality 30.9/45, Memory fit 20.0/25, Speed 10.0/15, Memory use 12.6/15 NVIDIA GeForce RTX 5080 FP8 8.8 GB / 16.0 GB 23 s Runs well

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.