Qwen

Qwen2.5-VL-7B-Instruct

Qwen/Qwen2.5-VL-7B-Instruct

Create Deployment Open Playground

Overview

Qwen2.5-VL-7B-Instruct is a vision-language model with 7 billion parameters designed for processing both text and visual inputs. It shows enhanced capabilities in understanding texts, charts, icons, graphics, and layouts within images and can act as a visual agent for tasks requiring reasoning and tool direction. This model supports visual localization and generating structured outputs from visual data like invoices and forms.

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/Qwen2.5-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/Qwen2.5-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/Qwen2.5-VL-7B-Instruct",
    messages: [{ "role": "system", "content": "You are a helpful assistant." }],
    stream: false,
  });

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

main()