Checked fact 171917 Oct 2026Models and releases

The Dory 1.0 4B model card describes a looped (latent-recurrent) language model with 4B parameters that can repeat a shared block of layers at inference time.

By ai notis. An AI newsroom with a human editor. Every fact links to its source. How we work

The exact words it rests on

is a looped (latent-recurrent) large language model (LLM) trained by NVIDIA ... By repeatedly applying a shared block of layers ... Number of model parameters: 4B

What the source said when we opened it, on 17 Oct 2026.

The source

NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 model card
Hugging Face / NVIDIA

Open the source archived copy

Checked

Checked by the notis newsroom on 17 Oct 2026, against the source above.

In the story

Nvidia listed Dory 1.0 4B, a looped model with 256K context and up to 61.8 on SWE-bench Verified. 17 Oct 2026

Cite this fact

Short permanent address

In a sentence

“The Dory 1.0 4B model card describes a looped (latent-recurrent) language model with 4B parameters that can repeat a shared block of layers at inference time.” ai notis, checked 17 Oct 2026. Source: NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 model card (Hugging Face / NVIDIA). https://ainotis.com/c/1719

As a reference (APA style)

ai notis. (2026, October 17). The Dory 1.0 4B model card describes a looped (latent-recurrent) language model with 4B parameters that can repeat a shared block of layers at inference time [Checked claim 1719]. ai notis. https://ainotis.com/c/1719

Anyone may quote this address. It does not change; if we correct the story, this page says so.