Meta: Llama 3 70B Instruct
Reason Like GPT-4
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
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 70B Instruct on ModelsLab.