Meta: Llama 3.2 3B Instruct (free)
Compact LLM. Powerful Output.
Efficient Performance. Multilingual Reach.
Structured Pruning
3.21B Parameters, Full Power
Achieves competitive performance with larger models through advanced pruning and knowledge distillation techniques.
Eight Languages
Multilingual Dialogue Ready
Supports English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai natively.
Instruction-Tuned
Chat, Retrieval, Summarization
Optimized for dialogue, agentic retrieval, and text summarization with superior instruction-following.
Examples
See what Meta: Llama 3.2 3B Instruct (free) can create
Copy any prompt below and try it yourself in the playground.
Product Summary
“Summarize the key features and benefits of a cloud storage service in 3 bullet points, focusing on security, ease of use, and pricing.”
Code Explanation
“Explain how a REST API authentication token works and provide a simple example of how to use it in a request header.”
Customer Support
“Draft a professional response to a customer complaint about delayed shipping, offering a solution and discount code.”
Content Rewriting
“Rewrite this technical documentation in simple language for non-technical users: [paste text here]”
For Developers
A few lines of code.
Inference. Three lines.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Meta: Llama 3.2 3B Instruct (free) on ModelsLab.