Model reference · open weights
VisionReward-Video is an open-weight language model from zai-org. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | zai-org |
|---|---|
| Type | Language models |
| Task | Text gen |
| Parameters (lead) | 12.5B |
| Context | 2k tokens |
| Released | 2024-12-10 |
| Popularity | 3k downloads / month |
| Licence | Commercial licence needed |
About
We present VisionReward, a general strategy to aligning visual generation models——both image and video generation——with human preferences through a fine-grainedand multi-dimensional framework. We decompose human preferences in images and videos into multiple dimensions,each represented by a series of judgment questions, linearly weighted and summed to an interpretable and accuratescore. To address the challenges of video quality assess-ment, we systematically analyze various dynamic features of videos, which helps VisionReward surpass VideoScore by 17.2% and achieve top performance for video preference prediction. Here, we present the model of VisionReward-Video.
You can quickly install the Python package dependencies and run model inference in our github.
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys visionreward-video for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (visionreward-video below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"visionreward-video","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.