Shared Yes/No decision adaptation with diffusion language models
Jev-DLLM: Shared Yes/No Decision Models
Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README.
Personal-assistant agent built on Vercel's eve with 100 mocked tools, measuring how many steps it takes when Jev picks the tool versus the LLM.
This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
Unofficial study: Jev-style parallel typed decisions on stock 1.5B-8B models on an Apple Silicon laptop. Benchmarks, research notes, and a Hugging Face Space demo.
Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval
One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B