Seedance 2.0 is here - create consistent, multimodal AI videos faster with images, videos, and audio in one prompt.

Try Now
Skip to main content
Available now on ModelsLab · Language Model

Meta: Llama 3.1 8B InstructCompact Multilingual Power

Try Meta: Llama 3.1 8B InstructAPI Documentation

Deploy Llama 3.1 Efficiently

128K Context

Process Long Inputs

Handle 128,000 tokens for extended documents and conversations in Meta: Llama 3.1 8B Instruct model.

Multilingual Dialogue

Optimized Conversations

Supports eight languages for chatbots and agents using Meta: Llama 3.1 8B Instruct API.

Edge Deployment

Resource Efficient

8B parameters suit constrained environments as Meta: Llama 3.1 8B Instruct alternative.

Examples

See what Meta: Llama 3.1 8B Instruct can create

Copy any prompt below and try it yourself in the playground.

Code Assistant

“You are a senior Python developer. Write a function to parse JSON logs, extract error timestamps, and summarize failures by type. Include error handling and unit tests.”

Text Summarizer

“Summarize this 5000-word technical report on renewable energy trends: [insert long report text]. Focus on key statistics, regional differences, and future projections in bullet points.”

Multilingual Q&A

“Respond in Spanish to: 'Explica los beneficios de la inteligencia artificial en la agricultura moderna, con ejemplos específicos de optimización de cultivos.' Keep response under 200 words.”

Instruction Follower

“Create a detailed project plan for building a web app: steps, tech stack (React, Node.js), timeline for 4 weeks, and risk mitigation. Format as markdown with tables.”

For Developers

A few lines of code.
Instruct Llama. One Call.

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Meta: Llama 3.1 8B Instruct

Read the docs

Ready to create?

Start generating with Meta: Llama 3.1 8B Instruct on ModelsLab.

Try Meta: Llama 3.1 8B InstructAPI Documentation