Nemotron Labs Dory 1.0 (4B)
Description
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).
Capability Radar
Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 96 | 39.0 | LS |
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Agents
General
Instruction Following
Reasoning
Science
AA Evaluation Indices
(Artificial Analysis)No AA evaluation data available
LLM Stats Category Scores
(LLM Stats (zeroeval))Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
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