Llama 3.1 Nemotron Nano 8B v1

Name: Llama 3.1 Nemotron Nano 8B v1
Author: Meta AI

by Meta AILlama 3.1

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

Released March 2025131K context≈ 98,304 words8B params

A compact but surprisingly capable reasoner that punches above its weight class for an 8B model. Nvidia has tuned it to toggle between a thinking mode and a direct-answer mode, letting it spend extra reasoning effort when problems demand it. It handles instruction-following and multi-step reasoning well for its size, though it naturally hits limits on highly complex tasks that larger models handle more gracefully.

Capabilities

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

Coding

Moderate

Multimodal

Llama 3.1 Nemotron Nano 8B v1

by Meta AILlama 3.1

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

Released March 2025131K context≈ 98,304 words8B params

A compact but surprisingly capable reasoner that punches above its weight class for an 8B model. Nvidia has tuned it to toggle between a thinking mode and a direct-answer mode, letting it spend extra reasoning effort when problems demand it. It handles instruction-following and multi-step reasoning well for its size, though it naturally hits limits on highly complex tasks that larger models handle more gracefully.

Capabilities

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

Coding

Moderate

Multimodal

Glossary

Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.Multi-Step ReasoningThe ability to break down complex problems into smaller steps and solve them sequentially, rather than jumping directly to an answer.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning EffortA configurable setting that controls how much computational time a model spends thinking through a problem before generating its response.Thinking ModeA model operating mode where it explicitly works through problems step-by-step before generating a final answer, improving accuracy on complex tasks.

Capabilities

Capabilities

Use Case Fit

Glossary