Qwen2.5-Coder-32B-Instruct

Open-source code generation large language model

CommonProductProgrammingCode GenerationCode Reasoning

Qwen2.5-Coder represents a series of large language models designed specifically for code generation, featuring six mainstream model sizes with 0.5, 1.5, 3, 7, 14, and 32 billion parameters to meet diverse developers' needs. This model has made significant improvements in code generation, reasoning, and repair, built upon the robust Qwen2.5, trained on a token count expanding to 5.5 trillion, including source code, text code basics, synthetic data, and more. The Qwen2.5-Coder-32B is currently the most advanced open-source code generation large language model, rivaling the encoding capabilities of GPT-4o. It not only enhances coding abilities but also retains advantages in mathematics and general understanding, supporting long contexts of up to 128K tokens.

Code Generation: Significantly enhances code generation capabilities
helping developers quickly implement code logic.
Code Reasoning: Improves code reasoning abilities
assisting developers in understanding code structure and logic.
Code Repair: Provides functionalities for code repair
helping developers identify and fix errors in code.
Long Context Support: Capable of handling long contexts of up to 128K tokens
suitable for managing large projects and complex code.
Based on Transformers: Utilizes transformer architecture
incorporating techniques like RoPE

The target audience includes developers
programming enthusiasts
and software engineers. Qwen2.5-Coder-32B-Instruct
with its powerful code generation and reasoning capabilities
is especially suited for large software development teams handling complex code logic

Developers use Qwen2.5-Coder-32B-Instruct to generate code for sorting algorithms.
Software engineers utilize the model to fix errors in existing code.
Startups rely on this model for rapid prototyping of new projects.

1. Visit the Hugging Face website and search for the Qwen2.5-Coder-32B-Instruct model.
2. Import the necessary libraries and modules according to the code examples provided on the page.
3. Load the model and tokenizer using the AutoModelForCausalLM and AutoTokenizer.from_pretrained methods.
4. Prepare input prompts
such as writing a quicksort algorithm.

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19075321

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Qwen2.5-Coder-32B-Instruct

Qwen2.5-Coder-32B-Instruct Visit Over Time

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Qwen2.5-Coder-32B-Instruct — Open-source code generation large language model

Qwen2.5-Coder-32B-Instruct-GGUF — Open-source code generation language model

Qwen2.5-Coder-7B — A 7 billion parameter code generation model from the Qwen2.5-Coder series.

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Qwen2.5-Coder-14B-Instruct-AWQ — An open-source large language model focused on code generation and reasoning.

Qwen2.5-Coder-7B-Instruct — A language model for code generation with 7B parameters.

Qwen2.5-Coder-1.5B-Instruct-GGUF — The Qwen2.5-Coder series features a 1.5B parameter instruction-tuned model.

Qwen2.5-Coder-3B-Instruct-GGUF — Qwen2.5-Coder 3B is a parameter-tuned model within the Qwen2.5-Coder series.

Qwen2.5-Coder-0.5B-Instruct — Instruction-tuned 0.5B parameter code generation model in the Qwen2.5-Coder series

Qwen2.5-Coder-0.5B — The 0.5B parameter code generation model in the Qwen2.5-Coder series.

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Qwen2.5-Coder Technical Report — Qwen2.5-Coder Series Technical Report

Qwen2.5-Coder-32B — The open-source code generation model in the Qwen2.5-Coder series with the most parameters.

Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int4 — A code generation model with 1.5 billion parameters from the Qwen2.5-Coder series.

Qwen2.5-Coder-1.5B-Instruct-GPTQ-Int8 — 1.5B parameter code generation model from the Qwen2.5-Coder series

Qwen2.5-Coder-1.5B-Instruct-AWQ — A 1.5 billion parameter code generation model from the Qwen2.5-Coder series.

Qwen2.5-Coder-3B-Instruct-GPTQ-Int8 — The 3B parameter Instruct model from the Qwen2.5-Coder series.

Qwen2.5-Coder-32B-Instruct-GPTQ-Int4 — An open-source language model for code generation with 3.25 billion parameters.

Qwen2.5-Coder-1.5B-Instruct — This is a 1.5B parameter code generation model in the Qwen2.5-Coder series.

Qwen2.5-Coder-3B — The 3B parameter model in the Qwen2.5-Coder series focuses on code generation and comprehension.

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WaveCoder — A model that opens a new chapter in code intelligence.

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DeepSeek-Coder-V2-Lite-Base — An open-source code language model designed to enhance programming and mathematical reasoning abilities.

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