NVIDIA’s looped Dory1.0-4B, distilled from Reflection’s Beam-1.0-501B-A23B, with Beam’s reasoning-effort setting. Pass reasoningeffort = low, medium or high, just as you would to Beam. Depending on the setting, it thinks 1.9–4× less than the base model.** Dory1.0-4B is a latent-recurrent nGPT: a 40-layer middle block runs 1–4 times per token, so you buy accuracy with compute instead of parameters. Beam writes short, direct reasoning and lets you choose how hard it thinks. This model learned both: — Beam’s style, from 52,660 verified medium-effort traces. — The effort setting, from 57,764 more examples at low, medium and high effort. The fine-tune is then blended back into the base weights. Built for Reflection’s Build with Beam challenge. — Need base-level accuracy? Dory-Beam-4B-Accurate ties base Dory on every benchmark with 1.8× fewer tokens. It has no effort setting. — Try it live: Dory-Beam-4B live runs it on ZeroGPU. Pick the effort and the loop count and watch it reason. — Distill Beam into your own model: the steps, scripts, costs and pitfalls are in code/RECIPE.md. — Version 2 (2026-10-26) adds the effort setting. The first release is the v1 tag of this repo. Real time on…
Модальности:
Генерация текста
Области применения:
Математика Логика и рассуждение Диалог / чат
Задача: Генерация текста
Автор: ProCreations
Теги: dory, looped-transformer, latent-reasoning, distillation, beam, reasoning, math, conversational
Лайков: 3 | Загрузок: 2,167
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
