Llama 3.2 3B is Meta's compact text-only model designed for edge and mobile deployment scenarios where compute resources are severely constrained. Despite its small footprint, it handles common text tasks — summarization, classification, simple Q&A, and formatting — with surprising quality.
The 3B size is ideal for on-device AI features in mobile apps, embedded systems, and IoT devices where network latency to cloud APIs is unacceptable. It runs comfortably on modern smartphones and can be quantized further for even tighter deployment targets.
Key Features
Compact 3B parameters for edge deployment
Runs on mobile devices and consumer hardware
Solid performance on common text tasks
Supports quantization for ultra-low-resource targets
Permissive commercial license
128K token context window
Ideal Use Cases
On-device AI assistants in mobile apps
Edge computing for offline-capable AI
Lightweight text classification and extraction
Embedded AI in consumer electronics
Technical Specifications
| Parameters | 3B |
| Modality | Text → Text |
| Provider | Meta |
| Category | Text Generation |
| License | Llama (Commercial OK) |
| Context Window | 128K tokens |
| Min VRAM | ~4GB |
API Usage
1 curl -X POST https://api.vincony.com/v1/chat/completions \ 2 -H "Authorization: Bearer YOUR_API_KEY" \ 3 -H "Content-Type: application/json" \ 4 -d '{ 5 "model": "meta/llama-3.2-3b", 6 "messages": [ 7 { "role": "user", "content": "Hello, Llama 3.2 3B!" } 8 ] 9 }'
Replace YOUR_API_KEY with your Vincony API key. OpenAI-compatible endpoint — works with any OpenAI SDK.
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Frequently Asked Questions
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