Models / QwenQwen / / Qwen2.5 7B Instruct Turbo API
Qwen2.5 7B Instruct Turbo API
LLM
Instruction-tuned 7.61B Qwen2.5 causal LLM with 131K context, RoPE, SwiGLU, RMSNorm, and advanced attention mechanisms.
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Qwen2.5 7B Instruct Turbo API Usage
Endpoint
Qwen/Qwen2.5-7B-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/Qwen2.5-7B-Instruct-Turbo",
"messages": [],
"stream": true
}'RUN INFERENCE
from together import Together
client = Together()
response = client.chat.completions.create(
model="Qwen/Qwen2.5-7B-Instruct-Turbo",
messages=[],
stream=True
)
for token in response:
if hasattr(token, 'choices'):
print(token.choices[0].delta.content, end='', flush=True)RUN INFERENCE
import Together from "together-ai";
const together = new Together();
const response = await together.chat.completions.create({
messages: [],
model: "Qwen/Qwen2.5-7B-Instruct-Turbo",
stream: true
});
for await (const token of response) {
console.log(token.choices[0]?.delta?.content)
}How to use Qwen2.5 7B Instruct Turbo
Model details
Prompting Qwen2.5 7B Instruct Turbo
Applications & Use Cases
