llmrun

ERNIE Models — Hardware Requirements

7 ERNIE models from Baidu and the community, from the smallest that runs in 0.7 GB of VRAM at Q4 up to 286.2B parameters. Every row links to full quantization tables and GPU compatibility.

All ERNIE Models by Size

ModelParamsContext
ERNIE 4.5 0.3B PT361M131K
ERNIE 4.5 21B A3B PT21B131K
ERNIE 4.5 21B A3B Thinking21.8B131K
ERNIE 4.5 VL 28B A3B PT29.4B131K
ERNIE 5.5 Flash Base286.2B1049K
Community variants and fine-tunes(2)
ModelParamsContext
ERNIE 4.5 0.3B Paddle361M131K
ErniePEUnleashed3.4B262K

Frequently Asked Questions

How much VRAM do I need to run a ERNIE model?
The smallest ERNIE model, ERNIE 4.5 0.3B PT, runs from 0.7 GB of VRAM at Q4_K_M (smaller low-bit quantizations start at 0.5 GB with a noticeable quality loss). Larger family members need proportionally more — see the table above for every model.
Which ERNIE models can I run on a 16 GB GPU?
5 of 7 ERNIE models fit in 16 GB of VRAM at Q4_K_M, including ERNIE 4.5 21B A3B Thinking, ERNIE 4.5 21B A3B PT, ERNIE 4.5 0.3B PT.
What is the most popular ERNIE model to run locally?
ERNIE 4.5 21B A3B Thinking is the most downloaded ERNIE model in local-friendly quantized formats. It runs from 14.3 GB of VRAM at Q4_K_M.