nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16
text-generation model by nvidia
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Model card & documentation
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NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 is a looped (latent-recurrent) large language model (LLM) trained by NVIDIA. The model employs a normalized-GPT architecture with interleaved hybrid sliding window attention (SWA) and full attention layers. By repeatedly applying a shared block of layers, Dory1.0-4B can spend more compute per token allowing it to scale intelligence. This model is ready for commercial or non-commercial use. Dory (Looped LM) Architecture: The layer stack is divided into three groups: Input (I), Recurrent (R) and Output (O). The shared Recurrent block (R) is applied multiple times between the Input and Output blocks, and the input is reinjected into every loop. In Dory, the Input and Output blocks have 8 layers each, while the Recurrent block has 20 layers. Governing Download Terms: Use of this model is governed by the OpenMDW-1.1 model license. Accuracy numbers measured by NVIDIA under a consistent harness (NeMo Gym / Nemo Evaluator SDK). Terminal-Bench 2.1 uses…
Read the full model card ↗ · Preview checked 2026-10-31T19:31:25.876Z
Inside the original model card — Document outline
- NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16
- Model Summary
- Highlights
- License/Terms of Use
- Benchmarks
- Quick Start Guide
- vLLM
- Launch the Server
- Choosing the Loop Count
- Reducing the KV Cache Memory Overhead
- llama.cpp
- Build on Apple Silicon
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Model overview
nvidia/NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16 is a text-generation model repository published by nvidia on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 4,576
- Cumulative likes
- 182
- Hugging Face trending score
- 82
- Reported safetensors parameters
- 3,975,229,440
- Architecture
- DoryForCausalLM
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-10-16T18:25:29.000Z
- Last modified
- 2026-10-16T23:54:11.000Z
Compatibility and lineage
Reported languages: en
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-25T06:45:38.398Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.