Llama-3.1-Nemotron-70B-Instruct-HF

This documentation is valid for the following list of our models:

• nvidia/Llama-3.1-Nemotron-70B-Instruct-HF

Model Overview

A sophisticated large language model developed by NVIDIA, designed to enhance the performance of instruction-following tasks. It utilizes advanced training techniques and a robust architecture to generate human-like responses across a variety of applications.

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API Schema

Generate a conversational response using a language model.

post

Creates a chat completion using a language model, allowing interactive conversation by predicting the next response based on the given chat history. This is useful for AI-driven dialogue systems and virtual assistants.

Authorizations

Body

modelundefined · enumrequired

Options: nvidia/Llama-3.1-Nemotron-70B-Instruct-HF

messagesone of[]required

max_tokensnumber · min: 1 · default: 512

stopany of

streamboolean · default: false

stream_optionsobject

ninteger · min: 1

seedinteger · min: 1

top_pnumber · min: 0.01 · max: 1

top_knumber

temperaturenumber

repetition_penaltynumber | nullable

logprobsboolean | nullable

echoboolean

min_pnumber · max: 1

presence_penaltynumber | nullable

frequency_penaltynumber | nullable

logit_biasobject | nullable

toolsobject[]

tool_choiceany of

response_formatone of

Responses

cURL

JavaScript

Python

HTTP

cURL

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v1/chat/completions' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF",
    "messages": [
      {
        "role": "system",
        "content": "text",
        "name": "text"
      }
    ],
    "max_tokens": 512,
    "stop": "text",
    "stream": false,
    "stream_options": {
      "include_usage": true
    },
    "n": 1,
    "seed": 1,
    "top_p": 1,
    "top_k": 1,
    "temperature": 1,
    "repetition_penalty": 1,
    "logprobs": true,
    "echo": true,
    "min_p": 1,
    "presence_penalty": 1,
    "frequency_penalty": 1,
    "logit_bias": {
      "ANY_ADDITIONAL_PROPERTY": 1
    },
    "tools": [
      {
        "type": "function",
        "function": {
          "description": "text",
          "name": "text",
          "parameters": null
        }
      }
    ],
    "tool_choice": "none",
    "response_format": {
      "type": "text"
    }
  }'

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