Qwen: Qwen2.5-VL 7B Instruct

Qwen2.5 VL 7B is a multimodal LLM from the Qwen Team with the following key enhancements: - SoTA understanding of images of various resolution & ratio: Qwen2.5-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. - Understanding videos of 20min+: Qwen2.5-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc. - Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2.5-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. - Multilingual Support: to serve global users, besides English and Chinese, Qwen2.5-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc. For more details, see this [blog post](https://qwenlm.github.io/blog/qwen2-vl/) and [GitHub repo](https://github.com/QwenLM/Qwen2-VL). Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).

API 사용법

from openai import OpenAI

client = OpenAI(
    api_key="your-dream-api-key",
    base_url="https://api.invoicedream.co.kr/v1"
)

response = client.chat.completions.create(
    model="qwen/qwen-2.5-vl-7b-instruct",
    messages=[
        {"role": "user", "content": "안녕하세요"}
    ]
)

print(response.choices[0].message.content)

import OpenAI from 'openai';

const client = new OpenAI({
  apiKey: 'your-dream-api-key',
  baseURL: 'https://api.invoicedream.co.kr/v1'
});

const response = await client.chat.completions.create({
  model: 'qwen/qwen-2.5-vl-7b-instruct',
  messages: [{ role: 'user', content: '안녕하세요' }]
});

console.log(response.choices[0].message.content);

curl https://api.invoicedream.co.kr/v1/chat/completions \
  -H "Authorization: Bearer your-dream-api-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen/qwen-2.5-vl-7b-instruct",
    "messages": [{"role": "user", "content": "안녕하세요"}]
  }'

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