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NIM Llama 3.2 90B Vision Instruct API

NVIDIA NIM for GPU accelerated Llama 3.2 90B Vision Instruct inference through OpenAI compatible APIs.

Deploy this NIM model

To run this model, you first need to deploy it on a Dedicated Endpoint.

NIM Llama 3.2 90B Vision Instruct API Usage

Endpoint

RUN INFERENCE

curl -X POST "https://api.together.xyz/v1/chat/completions" \
  -H "Authorization: Bearer $TOGETHER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "your-dedicated-endpoint-url",
    "messages": [
      {
        "role": "user",
        "content": "What are some fun things to do in New York?"
      }
    ]
  }'

RUN INFERENCE

from together import Together

client = Together()

response = client.chat.completions.create(
    model="your-dedicated-endpoint-url",
    messages=[
      {
        "role": "user",
        "content": "What are some fun things to do in New York?"
      }
    ]
)
print(response.choices[0].message.content)

RUN INFERENCE

import Together from "together-ai";

const together = new Together();

const response = await together.chat.completions.create({
  messages: [
    {
      role: "user",
      content: "What are some fun things to do in New York?"
    }
  ],
  model: "your-dedicated-endpoint-url"
});

console.log(response.choices[0].message.content)

How to use NIM Llama 3.2 90B Vision Instruct

Model details

Prompting NIM Llama 3.2 90B Vision Instruct

Applications & Use Cases

Looking for production scale? Deploy on a dedicated endpoint

Deploy NIM Llama 3.2 90B Vision Instruct on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.

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