Introduction

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

• Significantly more knowledge and has greatly improved capabilities in coding and mathematics , thanks to our specialized expert models in these domains.
• Significant improvements in instruction following , generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts , enhancing role-play implementation and condition-setting for chatbots.
• Long-context Support up to 128K tokens and can generate up to 8K tokens.
• Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.

This repo contains the instruction-tuned 72B Qwen2.5 model , which has the following features:

• Type: Causal Language Models
• Training Stage: Pretraining & Post-training
• Architecture: transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
• Number of Parameters: 72.7B
• Number of Paramaters (Non-Embedding): 70.0B
• Number of Layers: 80
• Number of Attention Heads (GQA): 64 for Q and 8 for KV
• Context Length: Full 131,072 tokens and generation 8192 tokens
  • Please refer to this section for detailed instructions on how to deploy Qwen2.5 for handling long texts.

For more details, please refer to our blog, GitHub, and Documentation.

Evaluation & Performance

Detailed evaluation results are reported in this blog.

How to use

You can choose 3 programming languages to access our qwen/qwen-2.5-72b-instruct model.

HTTP/cURL

We provide compatibility with the OpenAI API standard

The API Base URL

1https://api.novita.ai/v3/openai

Example of Using Chat Completions API

Generate a response using a list of messages from a conversation

1# Get the Novita AI API Key by referring to: https://novita.ai/docs/get-started/quickstart.html#_2-manage-api-key
2export API_KEY="{YOUR Novita AI API Key}"
3
4curl "https://api.novita.ai/v3/openai/chat/completions" \
5  -H "Content-Type: application/json" \
6  -H "Authorization: Bearer ${API_KEY}" \
7  -d '{
8    "model": "qwen/qwen-2.5-72b-instruct",
9    "messages": [
10        {
11            "role": "system",
12            "content": "Act like you are a helpful assistant."
13        },
14        {
15            "role": "user",
16            "content": "Hi there!"
17        }
18    ],
19    "max_tokens": 512
20}'

The response may look like this

1{
2  "id": "chat-5f461a9a23a44ef29dbd3124b891afc0",
3  "object": "chat.completion",
4  "created": 1731584707,
5  "model": "qwen/qwen-2.5-72b-instruct",
6  "choices": [
7    {
8      "index": 0,
9      "message": {
10        "role": "assistant",
11        "content": "Hello! It's nice to meet you. How can I assist you today? Do you have any questions or topics you'd like to discuss? I'm here to help with anything you need."
12      },
13      "finish_reason": "stop",
14      "content_filter_results": {
15        "hate": { "filtered": false },
16        "self_harm": { "filtered": false },
17        "sexual": { "filtered": false },
18        "violence": { "filtered": false },
19        "jailbreak": { "filtered": false, "detected": false },
20        "profanity": { "filtered": false, "detected": false }
21      }
22    }
23  ],
24  "usage": {
25    "prompt_tokens": 46,
26    "completion_tokens": 40,
27    "total_tokens": 86,
28    "prompt_tokens_details": null,
29    "completion_tokens_details": null
30  },
31  "system_fingerprint": ""
32}

If you want to receive a response via streaming, simply pass "stream": true in the request (see the difference on line 20). An example is provided.

1# Get the Novita AI API Key by referring to: https://novita.ai/docs/get-started/quickstart.html#_2-manage-api-key
2export API_KEY="{YOUR Novita AI API Key}"
3
4curl "https://api.novita.ai/v3/openai/chat/completions" \
5  -H "Content-Type: application/json" \
6  -H "Authorization: Bearer ${API_KEY}" \
7  -d '{
8    "model": "qwen/qwen-2.5-72b-instruct",
9    "messages": [
10        {
11            "role": "system",
12            "content": "Act like you are a helpful assistant."
13        },
14        {
15            "role": "user",
16            "content": "Hi there!"
17        }
18    ],
19    "max_tokens": 512,
20    "stream": true
21}'

The response may look like this

1data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
2
3...
4
5data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":"n, ne"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
6
7data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":"ed"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
8
9data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":" assi"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
10
11data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":"s"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
12
13data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":"tan"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
14
15data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":"ce wi"},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
16
17...
18
19data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":" "},"finish_reason":null,"content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
20
21data: {"id":"chat-d821b951d6ff43ab838d18137aef7d0a","object":"chat.completion.chunk","created":1731586102,"model":"meta-llama/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"content":"just want to chat?"},"finish_reason":"stop","content_filter_results":{"hate":{"filtered":false},"self_harm":{"filtered":false},"sexual":{"filtered":false},"violence":{"filtered":false},"jailbreak":{"filtered":false,"detected":false},"profanity":{"filtered":false,"detected":false}}}],"system_fingerprint":""}
22
23data: [DONE]

Model Parameters

Feel free to check out our documentation for more details.

Python

First, install the official OpenAI Python client

1pip install 'openai>=1.0.0'

and then you can run inferences with us

Example of Using Chat Completions API

Generate a response using a list of messages from a conversation

1from openai import OpenAI
2
3client = OpenAI(
4    base_url="https://api.novita.ai/v3/openai",
5    # Get the Novita AI API Key by referring to: https://novita.ai/docs/get-started/quickstart.html#_2-manage-api-key.
6    api_key="<YOUR Novita AI API Key>",
7)
8
9model = "qwen/qwen-2.5-72b-instruct"
10stream = True  # or False
11max_tokens = 512
12
13chat_completion_res = client.chat.completions.create(
14    model=model,
15    messages=[
16        {
17            "role": "system",
18            "content": "Act like you are a helpful assistant.",
19        },
20        {
21            "role": "user",
22            "content": "Hi there!",
23        }
24    ],
25    stream=stream,
26    max_tokens=max_tokens,
27)
28
29if stream:
30    for chunk in chat_completion_res:
31        print(chunk.choices[0].delta.content or "")
32else:
33    print(chat_completion_res.choices[0].message.content)

If you set stream: true (line 10), the print may look like this

1It'
2s
3 ni
4ce to
5meet you.
6Is
7 the
8re so
9meth
10ing I
11 can h
12e
13lp
14you wi
15th t
16oday,
17 or
18 woul
19d
20 you like to chat?

If you don't want to receive a response via streaming, simply set stream: false. The output will look like this

1How can I assist you today? Do you have any questions or topics you'd like to discuss?

Model Parameters

Feel free to check out our documentation for more details.

JavaScript

First, install the official OpenAI JavaScript client

1npm install openai

and then you can run inferences with us in the browser or in node.js

Example of Using Chat Completions API

Generate a response using a list of messages from a conversation

1import OpenAI from "openai";
2
3const openai = new OpenAI({
4  baseURL: "https://api.novita.ai/v3/openai",
5  apiKey: "<YOUR Novita AI API Key>",
6});
7const stream = true; // or false
8
9async function run() {
10  const completion = await openai.chat.completions.create({
11    messages: [
12      {
13        role: "system",
14        content: "Act like you are a helpful assistant.",
15      },
16      {
17        role: "user",
18        content: "Hi there!"
19      }
20    ],
21    model: "qwen/qwen-2.5-72b-instruct",
22    stream
23  });
24  
25  if (stream) {
26    for await (const chunk of completion) {
27      if (chunk.choices[0].finish_reason) {
28        console.log(chunk.choices[0].finish_reason);
29    } else {
30        console.log(chunk.choices[0].delta.content);
31      }
32    }
33  } else {
34    console.log(JSON.stringify(completion));
35  }
36}
37
38run();

If you set stream: true (line 7), the print may look like this

1It'
2s
3 nic
4e to
5 m
6eet you
7. Ho
8w can
9I
10 as
11sist
12 you
13toda
14y? Do you
15hav
16e any q
17uest
18io
19ns or
20 to
21pics you
22'
23d
24li
25ke to
26 di
27scuss
28stop

If you don't want to receive a response via streaming, simply set stream: false. The output will look like this

1{
2  "id": "chat-a3ff0e39b4c24abcbd258ab1a1f38db9",
3  "object": "chat.completion",
4  "created": 1731642457,
5  "model": "qwen/qwen-2.5-72b-instruct",
6  "choices": [
7    {
8      "index": 0,
9      "message": {
10        "role": "assistant",
11        "content": "How can I help you today? Would you like to talk about something specific or just have a chat? I'm here to assist you with any questions or information you might need."
12      },
13      "finish_reason": "stop",
14      "content_filter_results": {
15        "hate": { "filtered": false },
16        "self_harm": { "filtered": false },
17        "sexual": { "filtered": false },
18        "violence": { "filtered": false },
19        "jailbreak": { "filtered": false, "detected": false },
20        "profanity": { "filtered": false, "detected": false }
21      }
22    }
23  ],
24  "usage": {
25    "prompt_tokens": 46,
26    "completion_tokens": 37,
27    "total_tokens": 83,
28    "prompt_tokens_details": null,
29    "completion_tokens_details": null
30  },
31  "system_fingerprint": ""
32}

Model Parameters

Feel free to check out our documentation for more details.