Qwen 2.5 72B

Together
Text & Chat

Alibaba's powerful open-source model. Excellent at coding, math, and multilingual tasks.

Examples

See what Qwen 2.5 72B can generate

Data Analysis

Given monthly sales data [Jan: 12000, Feb: 15000, Mar: 14500, Apr: 18000, May: 22000, Jun: 19500], identify the trend and forecast July

The data shows a general upward trend with month-over-month growth averaging about 12.5%. There's a notable spike in May (+22.2%) followed by a correction in June (-11.4%), suggesting possible seasonality or a promotional event in May. Using linear regression on the six data points, the projected July sales are approximately 21,200. However, given the May-June pullback pattern, a more conservative estimate of 20,000-21,500 accounts for potential volatility.

Regex Help

Write a regex pattern that validates email addresses and explain each part

Pattern: `^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$` Breakdown: - `^` – Start of string - `[a-zA-Z0-9._%+-]+` – One or more valid local-part characters (letters, digits, dots, underscores, percent, plus, hyphen) - `@` – Literal @ symbol - `[a-zA-Z0-9.-]+` – Domain name (letters, digits, dots, hyphens) - `\.` – Literal dot before TLD - `[a-zA-Z]{2,}` – TLD must be at least 2 letters - `$` – End of string Note: This covers most common emails but won't match every valid RFC 5322 address.

Try Qwen 2.5 72B

0.7

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Pricing

Price per Generation
Per generationFree

API Integration

Use our OpenAI-compatible API to integrate Qwen 2.5 72B into your application.

Install
npm install railwail
JavaScript / TypeScript
import railwail from "railwail";

const rw = railwail("YOUR_API_KEY");

// Simple — just pass a string
const reply = await rw.run("qwen-2-5-72b", "Hello! What can you do?");
console.log(reply);

// With message history
const reply2 = await rw.run("qwen-2-5-72b", [
  { role: "system", content: "You are a helpful assistant." },
  { role: "user", content: "Explain quantum computing simply." },
]);
console.log(reply2);

// Full response with usage info
const res = await rw.chat("qwen-2-5-72b", [
  { role: "user", content: "Hello!" },
], { temperature: 0.7, max_tokens: 500 });
console.log(res.choices[0].message.content);
console.log(res.usage);
Specifications
Context window
131,072 tokens
Max output
4,096 tokens
Avg. latency
2.5s
Provider
Together AI
Category
Text & Chat
Tags
open-source
coding
multilingual
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