Tongyi
Qwen

Qwen2.5 Coder 32B Instruct

qwen/qwen2.5-coder-32b

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). As of now, Qwen2.5-Coder has covered six mainstream model sizes, 0.5, 1.5, 3, 7, 14, 32 billion parameters, to meet the needs of different developers. Qwen2.5-Coder brings the following improvements upon CodeQwen1.5:

  • Significantly improvements in code generation, code reasoning and code fixing. Base on the strong Qwen2.5, we scale up the training tokens into 5.5 trillion including source code, text-code grounding, Synthetic data, etc. Qwen2.5-Coder-32B has become the current state-of-the-art open-source codeLLM, with its coding abilities matching those of GPT-4o.
  • A more comprehensive foundation for real-world applications such as Code Agents. Not only enhancing coding capabilities but also maintaining its strengths in mathematics and general competencies. Long-context Support up to 128K tokens.

Context Window

128,000

Max Output Tokens

65,536

Language

PythonJavaScriptCurl

Using Qwen2.5 Coder 32B Instruct with Python API

Using Qwen2.5 Coder 32B Instruct with OpenAI compatible API

import openai

client = openai.Client(
  api_key= '{your_api_key}',
  base_url="https://api.model.box/v1",
)
response = client.chat.completions.create(
model="qwen/qwen2.5-coder-32b",
messages: [
  {
    role: 'user',
    content:
      'introduce your self',
    },
  ]
)
print(response)