Qwen2.5 Coder 32B Instruct by Qwen

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  Arxiv:2309.00071   Arxiv:2407.10671   Arxiv:2409.12186   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Chat   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Instruct   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwen2.5 Coder 32B Instruct Benchmarks

Qwen2.5 Coder 32B Instruct (Qwen/Qwen2.5-Coder-32B-Instruct)

Qwen2.5 Coder 32B Instruct Parameters and Internals

Model Type 
Causal Language Model
Supported Languages 
en (high)
Training Details 
Data Sources:
source code, text-code grounding, synthetic data
Data Volume:
5.5 trillion tokens
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text
LLM NameQwen2.5 Coder 32B Instruct
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-32B   Qwen/Qwen2.5-Coder-32B
Model Size32b
Required VRAM65.8 GB
Updated2025-04-29
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227