Qwen

Qwen2-VL-7B-Instruct

Qwen/Qwen2-VL-7B-Instruct

Create Deployment Open Playground

Overview

Part of the Qwen2 VL family, Qwen2-VL-7B-Instruct is an open-source vision-language model with 7 billion parameters. It is purpose-built for tasks involving both visual and textual understanding, such as image captioning, visual question answering, and content generation. This model is designed for high-performance inference and is suitable for applications requiring the integration of visual and textual information.

Tags

CentML Optimized

Chat

Dedicated

LLM

Serverless

VLM

API

Select a language: 
curl -X POST "https://api.centml.com/openai/v1/chat/completions" \
  -H "Authorization: Bearer *******************************************" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Qwen/Qwen2-VL-7B-Instruct",
    "messages": [{ "role": "system", "content": "You are a helpful assistant." }],
    "stream": false
  }'
from openai import OpenAI

client = OpenAI(
	api_key="*******************************************",
	base_url="https://api.centml.com/openai/v1"
)

completion = client.chat.completions.create(
    model="Qwen/Qwen2-VL-7B-Instruct",
    messages=[{ "role": "system", "content": "You are a helpful assistant." }],
    stream=False,
)

print(completion.choices[0].message)
import OpenAI from "openai";

const client = new OpenAI(
	api_key="*******************************************",
	base_url="https://api.centml.com/openai/v1"
)

async function main() {
  const completion = await client.chat.completions.create({
    model: "Qwen/Qwen2-VL-7B-Instruct",
    messages: [{ "role": "system", "content": "You are a helpful assistant." }],
    stream: false,
  });

  console.log(completion.choices[0])
}

main()