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Community Blog Introducing Qwen2.5 Coder 32B Instruct | Qwen

Introducing Qwen2.5 Coder 32B Instruct | Qwen

This article introduces Qwen2.5 Coder 32B Instruct the latest version of Qwen2.5 Coder from Qwen

Qwen team have developed Qwen2.5 Coder that helps you code more, and learn more. Qwen2.5-Coder is part of the Qwen2.5 series, available in six model sizes: 0.5B, 1.5B, 3B, 7B, 14B and a 32B version. They released latest version of Qwen2.5 Coder named Qwen2.5 Coder 32B Instruct in November 12, 2024. This model isn't only help you to code more and learn more, but these model has several specialty such as Powerful, Diverse, and Practical

Today, we will learn about Qwen2.5 Coder 32B Instruct.

Why Powerful, Diverse, and Practical?

Benchmark

Powerful: Achieved SOTA on Code Capabilities For Open-Source Models

Based on the benchmark above, we know that Qwen2.5 Coder 32B Instruct have achieved the best performance among open-source models on multiple popular AI code generation, code repair, code reasoning.

  1. Code generation:
    Have competitive performance with GPT-4o.
  2. Code repair:
    Have Performing comparably to GPT-4o on Aider.
  3. Code reasoning:
    Shown impressive performing.

32b_crux

  • Multiple Programming Languages:

    • Excellently across more than 40 programming languages. Shown impressive performance in languages like Haskell and Racket.
      32b_mceval
    • Additionally, similar to McEval, MdEval is a multi language code repair benchmark, and Qwen 2.5 Coder 32B Instruct has achieved ranking 1st among all open-source models with 75.2 score

32b_mdeval

  • Human Preference Alignment:

    • The results below demonstrate the advantages of Qwen2.5-Coder-32B-Instruct in human preference alignment.

32b_arena

Diverse: Rich Model Sizes

Qwen2.5-Coder available in six model sizes: 0.5B, 1.5B, 3B, 7B, 14B and a 32B version.

Base models performances comparison:
qwen2_5_coder_family_base

Instruct models performances comparison:
qwen2_5_coder_family_instruct

Disclaimer: Comparison above is based on Qwen Team documentation

Practical: Encountering Cursor and Artifacts

Qwen Team explored the actual performance of Qwen2.5-Coder in code assistants such as cursor and Artifacts scenarios.

Related Links:

AI Artificial Intelligence Alibaba Cloud Open Source PAI Generative AI Tongyi Qianwen Large Language Model LLMs Qwen
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