Nemotron-H-56B-Base

Name: Nemotron-H-56B-Base
Author: NVIDIA

by NVIDIANemotron

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 2025context N/A56B params

Nemotron-H-56B-Base is a foundation model that blends transformer and Mamba state-space layers, making it notably more efficient at processing long contexts than pure-transformer peers of similar size. As a base model, it has no instruction-following tuning, so it completes text rather than answering questions — it needs fine-tuning before it behaves like an assistant. Its hybrid architecture means it tends to be faster and less memory-hungry at inference time.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Moderate

Multilingual

Nemotron-H-56B-Base

by NVIDIANemotron

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released April 2025context N/A56B params

Nemotron-H-56B-Base is a foundation model that blends transformer and Mamba state-space layers, making it notably more efficient at processing long contexts than pure-transformer peers of similar size. As a base model, it has no instruction-following tuning, so it completes text rather than answering questions — it needs fine-tuning before it behaves like an assistant. Its hybrid architecture means it tends to be faster and less memory-hungry at inference time.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Moderate

Multilingual

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.Base ModelA pretrained model that completes text patterns but hasn't been trained to follow instructions, serving as a starting point for customization through fine-tuning.Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Foundation ModelA large pre-trained model that serves as a starting point for building other models, rather than being trained from scratch.Hybrid ArchitectureA model that combines two different neural network designs (in this case, Mamba2 and attention mechanisms) to balance speed and performance.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Inference TimeThe amount of time it takes for a model to process input and generate output after it has been trained.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.MambaA state-space model architecture designed to process long sequences faster and with less memory than traditional transformer models.TransformerThe dominant neural network architecture for language models, using self-attention to process sequences.

Capabilities

Capabilities

Use Case Fit

Glossary