Qwen2.5-Coder-14B-Instruct

A 14 billion parameter code generation model in the Qwen2.5-Coder series.

CommonProductProgrammingCode GenerationCode Reasoning

Qwen2.5-Coder-14B-Instruct is a large language model in the Qwen2.5-Coder series, focusing on code generation, reasoning, and repair. Built upon the powerful Qwen2.5, this model is trained on 5.5 trillion tokens, including source code and synthesized data, making it a leading open-source code LLM. It not only enhances coding capabilities but also maintains strengths in mathematics and general abilities while supporting long contexts of up to 128K tokens.

Code Generation: Significantly improves code generation capabilities
matching the coding proficiency of GPT-4o.
Code Reasoning: Enhances understanding of code logic and structure.
Code Repair: Increases the ability to detect and fix code errors.
Long Context Support: Accommodates long contexts of up to 128K tokens
suitable for handling large codebases.
Based on Transformers: Utilizes the transformers architecture
incorporating RoPE
SwiGLU
RMSNorm

\The target audience includes developers and programmers
especially those handling extensive code and complex projects. Qwen2.5-Coder-14B-Instruct offers powerful coding assistance to enhance their coding efficiency and code quality.\

Developers using Qwen2.5-Coder-14B-Instruct to generate code for the quicksort algorithm.
Software engineers leveraging the model to fix errors in existing code.
Data scientists using the model for code optimization and performance enhancement while working with large datasets.

1. Visit the Hugging Face website and search for the Qwen2.5-Coder-14B-Instruct model.
2. Follow the code snippets provided on the page to import AutoModelForCausalLM and AutoTokenizer.
3. Load the model and tokenizer using the model name.
4. Prepare input prompts
such as coding requests for specific functions.

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Monthly Visits

20899836

Bounce Rate

46.04%

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5.2

Visit Duration

00:04:57

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