If you want to try a _legit_ Jev implementation that matches (at least in my evals), the vLLM patch to turn DiffusionGemma into Jev is available.
On my DGX Spark I get very similar latency numbers, and it matches my evals + or - a few points on each test (DG wins some, Jev wins some, both show low confidence when wrong).
I ran the same evals against a Qwen36 and it clearly lost to both of them, so you are leaving both knowledge and instinctual reasoning on the table with any smaller models, FWIW.
This is very interesting! Seems like a promising direction.
I wonder though if it supports the same claims as Jev: answers are not impacted by other answers to the same questions, nor the existance of other questions? It seems by sharing KV cache all questions will be visible. And I think the diffusion causes the answers to attend to eachother?
Also I think without fine-tuning we can not say that the probabilities it output are actually probabilities. Maybe fine tuning using Brier scoring would do the trick?
Maybe some kind of hierarchical structure of the KV cache can make questions independent, and with smaller diffusion canvas’ generated in batch can be a way to make answers generate independently?
I believe you get better answers by diffusing each question together, but the PR's server gives you finer control over that. If each question is independent, you can get better parallelism.
mmastrac · · focus · HN ↗
On my DGX Spark I get very similar latency numbers, and it matches my evals + or - a few points on each test (DG wins some, Jev wins some, both show low confidence when wrong).
I ran the same evals against a Qwen36 and it clearly lost to both of them, so you are leaving both knowledge and instinctual reasoning on the table with any smaller models, FWIW.
<a href="https://github.com/vllm-project/vllm/pull/57250" rel="nofollow">https://github.com/vllm-project/vllm/pull/57250
mungoman2 · · focus · HN ↗
I wonder though if it supports the same claims as Jev: answers are not impacted by other answers to the same questions, nor the existance of other questions? It seems by sharing KV cache all questions will be visible. And I think the diffusion causes the answers to attend to eachother?
Also I think without fine-tuning we can not say that the probabilities it output are actually probabilities. Maybe fine tuning using Brier scoring would do the trick?
Maybe some kind of hierarchical structure of the KV cache can make questions independent, and with smaller diffusion canvas’ generated in batch can be a way to make answers generate independently?
mmastrac · · focus · HN ↗