Models / Chat / Llama 3.2 3B Instruct Turbo
Llama 3.2 3B Instruct Turbo
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 3B Instruct TurboModel CardPrompting Llama 3.2 3B Instruct TurboApplications & Use CasesAPI Usage
Endpoint
meta-llama/Llama-3.2-3B-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-3.2-3B-Instruct-Turbo",
"messages": [{"role": "user", "content": "What are some fun things to do in New York?"}]
}'
JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="meta-llama/Llama-3.2-3B-Instruct-Turbo",
messages=[{"role": "user", "content": "What are some fun things to do in New York?"}],
)
print(response.choices[0].message.content)
JSON RESPONSE
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: "meta-llama/Llama-3.2-3B-Instruct-Turbo",
});
console.log(response.choices[0].message.content)
JSON RESPONSE
Model Provider:
Meta
Type:
Chat
Variant:
Instruct
Parameters:
3B
Deployment:
✔ Serverless ✔ Dedicated
Quantization
FP16
Context length:
131K
Pricing:
$0.06
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Quickstart docs
Quickstart docs
How to use Llama 3.2 3B Instruct Turbo
Model details
Prompting Llama 3.2 3B Instruct Turbo
Applications & Use Cases
Looking for production scale? Deploy on a dedicated endpoint
Deploy Llama 3.2 3B Instruct Turbo on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
