ERNIE 4.5 VL 28B A3B

SyncDev model directory · Profile updated Oct 7, 2026

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ERNIE 4.5 VL 28B A3B is a downloadable checkpoint in Baidu's ERNIE 4.5 mixture-of-experts family.

Key specifications

Specification score
5.0
License
Apache-2.0

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input

Produces

  • Text output

Capabilities

VisionStreamingOpen weights

What is ERNIE 4.5 VL 28B A3B?

ERNIE 4.5 VL 28B A3B is a downloadable checkpoint in Baidu's ERNIE 4.5 mixture-of-experts family.

Read the exact checkpoint card

This listing describes ERNIE-4.5-VL-28B-A3B-PT. The text and vision-language releases have different input interfaces. A shared family name does not make their tokenizer, preprocessing or deployment configuration interchangeable.

Tasks worth testing

Use documents and images with small labels, tables and relationships between objects. Check whether a response is supported by the visible material and distinguish a reading error from a reasoning error.

Use prompts with an answer you can check, along with cases that lack enough evidence. Score the final answer, formatting and the amount of manual correction needed. A confident response should not receive credit merely for sounding complete.

Deployment and conversions

Keep the original repository, revision, tokenizer and runtime versions with the evaluation. When selecting a quantized conversion, inspect the converter's files and test it separately from the publisher checkpoint. Total and active parameter counts describe different aspects of an MoE deployment; neither establishes the complete hardware requirement.

This page records the weight licence from the publisher metadata and leaves managed API pricing unset. A third-party inference host has its own identifier, context allowance and service contract. Confirm those separately when choosing a route.

For a text assistant, compare another instruction-tuned text model on the same documents. For a visual assistant, keep image decoding and preprocessing fixed. These controls make a comparison useful beyond a table of model names.

Sources

Publisher source 1 Deployment limits and commercial terms belong to the selected checkpoint or API route.

How to evaluate ERNIE 4.5 VL 28B A3B

Compare the model on the work you need to complete.

Tasks and inputs

ERNIE 4.5 VL 28B A3B is listed for Image-text-to-text. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

The weights are downloadable under Apache-2.0. Check runtime support and size the complete model and working context for your expected concurrency.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

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