Models / Chat / Qwen2.5 72B API
Qwen2.5 72B API
API Usage
How to use Qwen2.5 72BModel CardPrompting Qwen2.5 72BApplications & Use CasesHow to use Qwen2.5 72BQwen2.5 72B API Usage
Endpoint
Qwen/Qwen2.5-72B-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": "Qwen/Qwen2.5-72B-Instruct-Turbo",
"messages": [],
"stream": true
}'JSON RESPONSE
RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="Qwen/Qwen2.5-72B-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: "Qwen/Qwen2.5-72B-Instruct-Turbo",
stream: true
});
for await (const token of response) {
console.log(token.choices[0]?.delta?.content)
}JSON RESPONSE
Model Provider:
Qwen
Type:
Chat
Variant:
Instruct
Parameters:
72B
Deployment:
✔ Serverless
✔️ On-Demand Dedicated
Quantization
FP8
Context length:
32768
Pricing:
$1.20
Check pricing
Run in playground
Deploy model
Quickstart docs
Quickstart docs
How to use Qwen2.5 72B
Model details
Prompting Qwen2.5 72B
Applications & Use Cases
How to use Qwen2.5 72B
Looking for production scale? Deploy on a dedicated endpoint
Deploy Qwen2.5 72B on a dedicated endpoint with custom hardware configuration, as many instances as you need, and auto-scaling.
