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Meta

Llama 3.2 1B

Meta

efficient
compact

Overview

A highly compact model from Meta's Llama 3.2 family with a 32,000-token context window, designed for resource-constrained environments. It offers surprisingly strong performance for its size, making it ideal for edge devices, on-device applications, and scenarios requiring minimal computational resources.

Key Strengths

Extreme efficiency
Edge deployment
Low resource requirements
Fast inference

Capabilities

Text Generation
Code Generation
Reasoning

Categories

General Purpose

Specifications

Context Size

32,000 tokens

Pricing

Input$0.05 / 1M tokens
Output$0.15 / 1M tokens

Documentation

View Documentation