Llama 3.1 Nemotron Nano VL 8B V1

Name: Llama 3.1 Nemotron Nano VL 8B V1
Author: Meta AI

by Meta AILlama 3.1

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

Released June 2025131K context≈ 98,304 words8B params

A compact vision-language model that punches above its weight class for an 8B parameter system, handling both image understanding and text tasks in a single package. It reflects NVIDIA's Nemotron fine-tuning approach, which tends to sharpen instruction-following and reasoning compared to base Llama foundations. The 'Nano' label signals it's optimized for efficiency, so expect some capability trade-offs versus larger multimodal siblings.

Capabilities

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

Instruction Following

Strong

Multimodal

Llama 3.1 Nemotron Nano VL 8B V1

by Meta AILlama 3.1

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

Released June 2025131K context≈ 98,304 words8B params

A compact vision-language model that punches above its weight class for an 8B parameter system, handling both image understanding and text tasks in a single package. It reflects NVIDIA's Nemotron fine-tuning approach, which tends to sharpen instruction-following and reasoning compared to base Llama foundations. The 'Nano' label signals it's optimized for efficiency, so expect some capability trade-offs versus larger multimodal siblings.

Capabilities

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

Instruction Following

Strong

Multimodal

Glossary

Fine-TuningThe process of further training a pre-trained model on new data to adapt it for specific tasks or domains.Instruction-FollowingThe ability of a model to understand and execute specific tasks or commands given in natural language prompts.Language ModelAn AI model trained to predict and generate text by learning patterns from large amounts of written data.MultimodalA model that can process and understand multiple types of input, such as both text and images.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Vision-LanguageA model designed to understand and reason about both visual content (images) and natural language text together.Vision-Language ModelAn AI model that understands both images and text, allowing it to answer questions about images or describe what it sees.

Capabilities

Capabilities

Use Case Fit

Glossary