AI Models & Agents
NVIDIA Releases Dory, a Looped 4B Language Model
The open-weight model reuses a layer block at inference, letting users adjust compute with one checkpoint.
Illustration of a neural network layer block repeating in a loop as token-like shapes pass through.
Photo: Kronos News
NVIDIA released Dory1.0-4B on October 16, 2026, describing it as an open-weight language model with four billion parameters and a context window of up to 256,000 tokens. Its design repeatedly applies a shared block of layers, and users can change the loop count without switching checkpoints or retraining. [1]
NVIDIA says more loops trade additional inference compute for accuracy, and recommends two loops as a starting point; its reported benchmark results are company evaluations, not independent verification. [1] The model is listed under the OpenMDW 1.1 license, and NVIDIA’s Hugging Face collection includes additional Dory formats. [1][2]
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AI assisted drafting. Human edited and reviewed.
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Technical details and performance claims come from NVIDIA’s model card; benchmark results are company-reported and not independently verified.
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Kronos News Desk covers ai models & agents and editorial analysis for Kronos News.