Qwen2.5-VL 32B Instruct
Qwen2.5-VL processes text and images seamlessly for advanced multimodal instruction and reasoning.
API
If you're looking for an API, you can choose from your desired programming language.
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const axios = require('axios');
const fs = require('fs');
const path = require('path');
// helper function to help you convert your local images into base64 format
async function toB64(imgPath) {
const data = fs.readFileSync(path.resolve(imgPath));
return Buffer.from(data).toString('base64');
}
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/qwen2p5-vl-32b-instruct";
const data = {
"messages": [
{
"role": "user",
"content": "tell me a joke on cats"
},
{
"role": "assistant",
"content": "here is a joke about cats..."
},
{
"role": "user",
"content": "now a joke on dogs"
}
]
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();Attributes
An array of objects containing the role and content
Could be "user", "assistant" or "system".
A string containing the user's query or the assistant's response.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Resources to get you started
Everything you need to know to get the most out of Qwen2.5-VL 32B Instruct
Effective Usage Guide for Qwen2.5-VL 32B Instruct
Qwen2.5-VL 32B Instruct is a powerful multimodal AI that handles text and image inputs seamlessly. Follow these best practices and parameter settings to maximize performance across use cases.
1. General Best Practices
- •Be Explicit
Start with clear directives: “Summarize the following document…” or “Analyze this image for defects…”. - •Provide Context
Leverage the 125K-token window for long documents, multi–turn chats, or codebases. Include relevant history or data in the prompt. - •High-Quality Images
Use well-lit, high-resolution photos. Avoid cluttered backgrounds for accurate object recognition. - •Iterative Refinement
Review and tweak prompts. Slight rephrasings often yield improved outputs. - •Combine Modalities
Pair text and images (e.g., “Refer to the attached chart and explain…”) to unlock deeper insights.
2. Parameter Recommendations
Adjust these core parameters based on your task:
| Use Case | Temperature | Max Tokens | Top-p | Frequency Penalty | Presence Penalty |
|---|---|---|---|---|---|
| Customer Support Chatbot | 0.2 | 1024 | 0.9 | 0.0 | 0.0 |
| Document Summarization | 0.1 | 2048 | 0.8 | 0.0 | 0.0 |
| Visual Question Answering | 0.0 | 512 | 1.0 | 0.0 | 0.0 |
| Creative Content Generation | 0.7 | 1500 | 0.95 | 0.2 | 0.1 |
| Code Assistance / Review | 0.1 | 2048 | 0.7 | 0.1 | 0.1 |
- •Temperature controls randomness. Lower (0.0–0.2) for factual tasks, higher (0.6–0.9) for creative outputs.
- •Max Tokens sets response length. Increase for in-depth answers or long summaries.
- •Top-p (nucleus sampling) trims low-probability tokens. 0.8–0.9 balances diversity and coherence.
- •Frequency & Presence Penalties discourage repetition. Useful in creative writing or brainstorming.
3. Advanced Tips
- •Step-by-Step Decomposition
“Break down the legal clause into parts and summarize each.” - •Use System Messages
Prepend “System: You are an expert analyst…” to bias style and tone. - •Stop Sequences
Define custom stops (e.g., “—END—”) to prevent run-on outputs. - •Chunking Large Inputs
For very long documents, split into sections, process iteratively, then aggregate.
4. Troubleshooting
- •Off-Topic Responses: Lower temperature, increase context clarity.
- •Repetition: Increase frequency_penalty or presence_penalty.
- •Incomplete Answers: Raise max_tokens or add “Continue from previous answer” and feed back context.
By tuning prompts and parameters wisely, Qwen2.5-VL 32B Instruct becomes a versatile engine for chatbots, document AI, visual QA, code review, and creative applications—all at production scale.
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