Model Releases
System one models are extremely useful for a variety of document tasks that require fast decisions: * orientation detection * language detec…
System one models are extremely useful for a variety of document tasks that require fast decisions: * orientation detection * language detection * classification * splitting We benchmarked Jev with ot
System one models are extremely useful for a variety of document tasks that require fast decisions: * orientation detection * language detection * classification * splitting We benchmarked Jev with other OSS models (some general classifiers, some document-specific) against a variety of these tasks. We measured accuracy, cost, and latency. Jev tops most of the benchmarks here across the 3 dimensions. We're excited to use it and learn from it to continue advancing the frontiers of doc understanding! YT: https://www.youtube.com/watch?v=MLZ1dUOZG74 Repo: https://github.com/run-llama/jev_vs_oss Media Document parsing requires a lot of on-the-fly decision making. We explored the early approaches to Jev and Jev-like models on several documents tasks like orientation detection, language detection, routing, and more. https://www.youtube.com/watch?v=MLZ1dUOZG74
Related
Source: Jerry Liu (X) | 2026-09-30