Qwen 2 7B Instruct

qwen/qwen-2-7b-instruct

Created Jul 1632,768 context

$0.054/M input tokens$0.054/M output tokens

Qwen2 7B is a transformer-based model that excels in language understanding, multilingual capabilities, coding, mathematics, and reasoning.

It features SwiGLU activation, attention QKV bias, and group query attention. It is pretrained on extensive data with supervised finetuning and direct preference optimization.

For more details, see this blog post and GitHub repo.

Usage of this model is subject to Tongyi Qianwen LICENSE AGREEMENT.

Sample code and API for Qwen 2 7B Instruct

OpenRouter normalizes requests and responses across providers for you.

To get started, you can use Qwen 2 7B Instruct via API like this:

fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${OPENROUTER_API_KEY}`,
    "HTTP-Referer": `${YOUR_SITE_URL}`, // Optional, for including your app on openrouter.ai rankings.
    "X-Title": `${YOUR_SITE_NAME}`, // Optional. Shows in rankings on openrouter.ai.
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "qwen/qwen-2-7b-instruct",
    "messages": [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  })
});

You can also use OpenRouter with OpenAI's client API:

import OpenAI from "openai"

const openai = new OpenAI({
  baseURL: "https://openrouter.ai/api/v1",
  apiKey: $OPENROUTER_API_KEY,
  defaultHeaders: {
    "HTTP-Referer": $YOUR_SITE_URL, // Optional, for including your app on openrouter.ai rankings.
    "X-Title": $YOUR_SITE_NAME, // Optional. Shows in rankings on openrouter.ai.
  }
})

async function main() {
  const completion = await openai.chat.completions.create({
    model: "qwen/qwen-2-7b-instruct",
    messages: [
      {
        "role": "user",
        "content": "What is the meaning of life?"
      }
    ]
  })

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

See the Request docs for all possible parameters, and Parameters for recommended values.