J1B
Jibs Qwen workflow uses a custom-trained Wan VAE to remove the hash/grid lines visible in Qwen outputs.Here is the GitHub for nodes: the Custom Wan/Qwen VAE model: a Qwen 2512 Version of Jib Mix Qwen.+ Has better fine details than previous versions.+ Less of a same face issue.+ Less nosie artifacts.- Not quite as g
Running this yourself: can likely run on your own machine.
This model is still tracked for research and discovery, but it is excluded from default public rankings until it returns to active status.
---
Quality Score
---
Arena ELO
Unknown
Parameters
---
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
Sign in to join the discussion
0
Downloads
0
Likes
---
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct - SWE-Bench Verified
SWE-Bench Verified resolved rate 69.6
View source