- Released
- 1y ago
- Size
- 29.4Bparameters
Baidu open-weight multimodal mixture-of-experts model for image and text understanding, with 3B active parameters.
How it compares
Frequently asked questions
Running locally
An estimated 21 GB at Q4, 36.4 GB at Q8 and 68.1 GB at FP16, based on the 29.4B parameter count. All VRAM figures are estimates, covering weights plus about 15% and 0.5 GB for a short context.
Yes on a 24 GB GPU, which fits at Q4 with an estimated 21 GB. A 16 GB, 12 GB or 8 GB GPU does not fit at Q4, Q8 or FP16, per estimates.
Yes, with an estimated 21 GB needed at Q4. Assuming macOS lets the GPU use about 75% of unified memory, the smallest common Mac memory size that fits is 32 GB, an estimate.
Privacy and data
Yes. The model has open weights, so you can self-host it for full control of your data.
Capabilities and specs
ERNIE 4.5 VL 28B A3B accepts text and image inputs. Audio, video and PDFs are not listed.
Quality and benchmarks
Matched on model kind and release date, with no comparable price, the closest alternatives are DiffuCoder 7B by Apple, Jamba Large by AI21 Labs and Gemma 3n E2B IT by Google DeepMind.
DiffuCoder 7BERNIE 4.5 VL 28B A3B vs DiffuCoder 7BJamba LargeERNIE 4.5 VL 28B A3B vs Jamba LargeGemma 3n E2B ITERNIE 4.5 VL 28B A3B vs Gemma 3n E2B IT
Licensing and access
ERNIE 4.5 VL 28B A3B has open weights. The license is Apache 2.0.
Yes. The license is Apache 2.0, a permissive license that allows commercial use.
From the Hugging Face repository baidu/ERNIE-4.5-VL-28B-A3B-PT.
Basics
ERNIE 4.5 VL 28B A3B was made by Baidu and released on June 30, 2025.
Yes, the model has open weights.
Generated from Vertical Tabs data, updated November 3, 2026.




Discussion
No comments yet
Be the first to share your thoughts.