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Models
Codiv serves open System One models. Each has open weights and an open-source server, so you can always run it yourself.
OpenJev
OpenJev turns DiffusionGemma 26B-A4B, a discrete diffusion language model, into a System One model. It writes the answer template onto the model's canvas, leaves only the answer slots as noise and reads a probability distribution for every slot from a single denoising step. There is no generation and no parsing, so an answer can never fall outside your schema.
| Current version | openjev-0.1 (public experiment) |
| Base model | DiffusionGemma 26B-A4B (mixture of experts, about 4B active parameters), NVFP4 |
| Context window | 65,536 tokens (state and questions together) |
| Question types | noul, choice (up to 128 options), score (2–10 levels) |
| License | Apache-2.0 for both the weights and the server |
| Source | github.com/razorback16/openjev |
Model ids
| Id | Serves |
|---|---|
openjev-latest | Alias for the newest release. Currently openjev-0.1. |
openjev-0.1 | OpenJev 0.1, pinned. Use this if you want answers that don't change when a new version ships. |
jev-latest, jev-preview | Aliases for openjev-latest, so the TypeSafe SDK defaults work unchanged. |
The response's model field always names the exact version that answered.
OpenJev 0.1 runs on an unmerged vLLM pull request (#57250). When that lands upstream we will release openjev-1.0 and move openjev-latest to it; openjev-0.1 stays available for pinning.
Coming next
OpenJev 1.0, batch mode for large jobs, and more open System One models.