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Meta: Llama 3 70B InstructReason Like GPT-4

Try Meta: Llama 3 70B InstructAPI Documentation

Deploy Llama 3 Power

Top Benchmarks

82% MMLU Score

Meta: Llama 3 70B Instruct hits 82.0% on MMLU, rivaling closed models.

Code Mastery

81.7% HumanEval

Surpasses GPT-4 on code generation with Meta: Llama 3 70B Instruct model.

Dialogue Optimized

Instruction Tuned

Fine-tuned via SFT and RLHF for safe, helpful Meta llama 3 70b instruct responses.

Examples

See what Meta: Llama 3 70B Instruct can create

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

Code Generator

“Write a Python function to parse JSON logs, extract error counts by type, and output a sorted summary table using pandas.”

Reasoning Chain

“Solve this puzzle step-by-step: A bat and ball cost $1.10 total. Bat costs $1 more than ball. How much does the ball cost? Explain reasoning.”

Multilingual Query

“Translate this technical spec from English to Spanish, then summarize key features in bullet points: 'Decoder-only transformer with 70B parameters, pretrained on 15T tokens.'”

Instruction Follow

“Draft a professional email declining a job offer. Keep it concise, positive, express gratitude, and leave door open for future opportunities.”

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 70B Instruct

Read the docs

Meta: Llama 3 70B Instruct is a 70B-parameter LLM optimized for dialogue and instruction following. It uses a transformer architecture pretrained on 15T tokens. Benchmarks show 82% MMLU and 81.7% HumanEval.

Meta llama 3 70b instruct scores 1207 ELO on Chatbot Arena and beats GPT-4 on HumanEval (81.7% vs 67%). It serves as an open-weight alternative with full access.

Meta: Llama 3 70B Instruct API handles text generation, code, and reasoning tasks. Supports dialogue, multilingual output, and tool use. Deploy via endpoints for private inference.

Yes, weights are openly available as part of Meta Llama 3 family. Instruction-tuned variant outperforms many open chat models on benchmarks.

Meta: Llama 3 70B Instruct LLM acts as a GPT-4 alternative for self-hosted setups. Use ModelsLab API for fast, cost-effective access without infrastructure.

Meta llama 3 70b instruct api excels in reasoning (93% GSM-8K), coding, and safety via RLHF. Optimized for efficiency in transformer-based generation.

Ready to create?

Start generating with Meta: Llama 3 70B Instruct on ModelsLab.

Try Meta: Llama 3 70B InstructAPI Documentation