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Meta Llama 3.1 405B Instruct TurboScale Intelligence Turbocharged

Try Meta Llama 3.1 405B Instruct TurboAPI Documentation

Deploy Frontier Capabilities Now

128K Context

Handle Long Inputs

Process 128,000 tokens for extended reasoning and document analysis in Meta Llama 3.1 405B Instruct Turbo.

80 Tokens/Second

Turbo Inference Speed

Achieve up to 80 tokens per second with Together Turbo on Meta Llama 3.1 405B Instruct Turbo model.

Function Calling

Integrate Tools Seamlessly

Enable tool use, JSON mode, and zero-shot integration via Meta Llama 3.1 405B Instruct Turbo API.

Examples

See what Meta Llama 3.1 405B Instruct Turbo can create

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

Code Review

“Review this Python function for bugs, optimize for performance, and suggest unit tests: def fibonacci(n): if n <= 1: return n return fibonacci(n-1) + fibonacci(n-2)”

Data Analysis

“Analyze this sales dataset JSON for trends, anomalies, and recommendations: [{'month': 'Jan', 'sales': 1200}, {'month': 'Feb', 'sales': 1500}, {'month': 'Mar', 'sales': 900}]”

Tech Summary

“Summarize key advancements in transformer architectures post-2023, focusing on efficiency and scaling laws, in 300 words.”

Logic Puzzle

“Solve this riddle step-by-step: Three houses in a row, owned by Alice, Bob, Carl. Alice has a dog, Bob has a cat, Carl has neither. The cat hates the dog. Who lives in the middle?”

For Developers

A few lines of code.
Inference. Four 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
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 405B Instruct Turbo

Read the docs

Meta Llama 3.1 405B Instruct Turbo is a 405B parameter instruct model optimized for speed via Together Turbo. It supports text generation with 128K context. Use it as a Meta Llama 3.1 405B Instruct Turbo alternative for production.

Delivers up to 80 tokens per second on Together AI endpoints. Matches Meta FP16 reference accuracy. Ideal for high-throughput Meta Llama 3.1 405b instruct turbo api tasks.

Supports 128,000 tokens for long-context reasoning. Expanded from Llama 3's 8K limit. Handles complex Meta Llama 3.1 405B Instruct Turbo LLM workloads.

Yes, includes function calling, JSON mode, and tool use. Optimized for zero-shot integration. Key for Meta Llama 3.1 405B Instruct Turbo model applications.

Available via Together AI as meta llama 3.1 405b instruct turbo. Offers lower cost than Bedrock or Azure options. Scalable for enterprise via LLM endpoints.

Achieves 87.3% on MMLU 5-shot, 88.6% with chain-of-thought. Competitive with GPT-4 Turbo. Demonstrates strong reasoning in Meta Llama 3.1 405B Instruct Turbo.

Ready to create?

Start generating with Meta Llama 3.1 405B Instruct Turbo on ModelsLab.

Try Meta Llama 3.1 405B Instruct TurboAPI Documentation