Nemotron Labs Dory 1.0 (4B)
NVIDIA · open weight · nemotron-labs-dory-1.0-4b
NVIDIA Nemotron Labs Dory 1.0 4B is an open-weight looped (latent-recurrent) normalized-GPT language model with interleaved sliding-window attention (SWA) and full-attention layers. A shared recurrent block can be applied multiple times at inference (recommended default: 2 loops) to trade compute for accuracy without swapping checkpoints. Text-in / text-out, English, up to 256K context (max_position_embeddings 262144). Reasoning model with tool calling. Pre-trained on 6T tokens (NVFP4 then BF16) plus 300B context-extension tokens; training data collected through December 2025. Released under OpenMDW License Agreement v1.1. Weights: BF16 (siblings MXFP8, NVFP4, GGUF).
Benchmark scores
| Benchmark | Score |
|---|---|
| GDPval-AA | 946.00 |
| GPQA | 0.72 |
| SWE-Bench Verified | 0.59 |
| Humanity's Last Exam | 0.11 |
Pricing
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AA metrics
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Arena Elo
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