Models / Chat / EXAONE 3.5 32B Instruct API
EXAONE 3.5 32B Instruct API
Chat
32B bilingual model by LG AI Research with SOTA long-context performance, instruction-tuned for English/Korean.
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Free
API Usage
How to use EXAONE 3.5 32B InstructModel CardPrompting EXAONE 3.5 32B InstructApplications & Use CasesHow to use EXAONE 3.5 32B InstructEXAONE 3.5 32B Instruct API Usage
Endpoint
lgai/exaone-3-5-32b-instruct
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": "lgai/exaone-3-5-32b-instruct",
"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="lgai/exaone-3-5-32b-instruct",
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: "lgai/exaone-3-5-32b-instruct"
});
console.log(response.choices[0].message.content)JSON RESPONSE
Model Provider:
LG AI Research
Type:
Chat
Variant:
Instruct
Parameters:
32B
Deployment:
Quantization
Context length:
32K
Pricing:
Free
Run in playground
Deploy model
Quickstart docs
Quickstart docs
How to use EXAONE 3.5 32B Instruct
Model details
Prompting EXAONE 3.5 32B Instruct
Applications & Use Cases
How to use EXAONE 3.5 32B Instruct
Looking for production scale? Deploy on a dedicated endpoint
Deploy EXAONE 3.5 32B Instruct on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
