react native executorch llama 3.2

Llama 3.2

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

Released October 2024context N/A

A mobile-focused runtime that brings Llama 3.2 inference directly onto Android and iOS devices via ExecuTorch. It operates entirely on-device, meaning no network calls and no server dependency — latency is bounded by local hardware rather than API round-trips. The trade-off is that performance scales with the device's CPU/GPU/NPU capabilities, so results vary across hardware.

Capabilities

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

Coding

Moderate

Long Context

Moderate

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

react native executorch llama 3.2

Llama 3.2

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

Released October 2024context N/A

A mobile-focused runtime that brings Llama 3.2 inference directly onto Android and iOS devices via ExecuTorch. It operates entirely on-device, meaning no network calls and no server dependency — latency is bounded by local hardware rather than API round-trips. The trade-off is that performance scales with the device's CPU/GPU/NPU capabilities, so results vary across hardware.

Capabilities

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

Coding

Moderate

Long Context

Moderate

Reasoning & Logic

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

APIAn interface that allows developers to send requests to and receive responses from an AI model over the internet.ExecuTorchA lightweight runtime framework that optimizes and executes AI models efficiently on mobile and edge devices with limited computational resources.InferenceThe process of running a trained model to generate predictions or outputs from new inputs.LatencyThe time delay between sending a request and receiving the first response token from a model.On-DeviceA model designed to run directly on a user's device (phone, laptop, etc.) rather than requiring a remote server.