Understanding the Llama-3.3-70b-instruct model

Model overviewLink to this anchor

Model namesLink to this anchor

meta/llama-3.3-70b-instruct:bf16

Compatible InstancesLink to this anchor

Model introductionLink to this anchor

Released December 6, 2024, Meta’s Llama 3.3 70b is a fine-tune of the Llama 3.1 70b model. This model is still text-only (text in/text out). However, Llama 3.3 was designed to approach the performance of Llama 3.1 405B on some applications.

Why is it useful?Link to this anchor

• Llama 3.3 uses the same prompt format as Llama 3.1. Prompts written for Llama 3.1 work unchanged with Llama 3.3.
• Llama 3.3 supports 7 languages in addition to English: French, German, Hindi, Italian, Portuguese, Spanish, and Thai.

How to use itLink to this anchor

Sending Managed Inference requestsLink to this anchor

To perform inference tasks with your Llama-3.3 deployed at Scaleway, use the following command:

curl -s \
-H "Authorization: Bearer <IAM API key>" \
-H "Content-Type: application/json" \
--request POST \
--url "https://<Deployment UUID>.ifr.fr-par.scaleway.com/v1/chat/completions" \
--data '{"model":"meta/llama-3.3-70b-instruct:bf16", "messages":[{"role": "user","content": "There is a llama in my garden, what should I do?"}], "max_tokens": 500, "temperature": 0.7, "stream": false}'

Make sure to replace <IAM API key> and <Deployment UUID> with your actual IAM API key and the Deployment UUID you are targeting.

Receiving Inference responsesLink to this anchor

Upon sending the HTTP request to the public or private endpoints exposed by the server, you will receive inference responses from the managed Managed Inference server. Process the output data according to your application’s needs. The response will contain the output generated by the LLM model based on the input provided in the request.