Models / Vision / Llama 3.2 90B API
Llama 3.2 90B API
LLM
Multimodal LLM optimized for visual recognition, image reasoning, captioning, and answering image-related questions.
Try our Llama 3.2 API
API Usage
How to use Llama 3.2 90BModel CardPrompting Llama 3.2 90BApplications & Use CasesHow to use Llama 3.2 90BLlama 3.2 90B API Usage
Endpoint
meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo
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": "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
"messages": [],
"stream": true
}'JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
messages=[],
stream=True
)
for token in response:
if hasattr(token, 'choices'):
print(token.choices[0].delta.content, end='', flush=True)JSON RESPONSE
RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [],
model: "meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo",
stream: true
});
for await (const token of response) {
console.log(token.choices[0]?.delta?.content)
}JSON RESPONSE
Model Provider:
Meta
Type:
Vision
Variant:
Instruct
Parameters:
90B
Deployment:
✔ Serverless
✔️ On-Demand Dedicated
Quantization
Context length:
128K
Pricing:
$1.20
Check pricing
Run in playground
Deploy model
Quickstart docs
Quickstart docs
How to use Llama 3.2 90B
Model details
Prompting Llama 3.2 90B
Applications & Use Cases
How to use Llama 3.2 90B
Looking for production scale? Deploy on a dedicated endpoint
Deploy Llama 3.2 90B on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
