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Qwen2.5 Coder 7B 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 7B Instruct Benchmarks

LLME Score: 0.42879
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2.5 Coder 7B Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research, commercial applications
Applications:
code generation, code reasoning, code fixing
Additional Notes 
vLLM is recommended for deployment when processing long contexts.
Supported Languages 
en (full)
Training Details 
Data Sources:
source code, text-code grounding, Synthetic data
Data Volume:
5.5 trillion tokens
Methodology:
Pretraining & Post-training
Context Length:
131072
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Utilize YaRN for long contexts
LLM NameQwen2.5 Coder 7B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-Coder-7B
Model Size7b
Required VRAM15.2 GB
Updated2024-11-21
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2.5 Coder 7B Instruct (Qwen/Qwen2.5-Coder-7B-Instruct)

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Rank the Qwen2.5 Coder 7B Instruct Capabilities

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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 v20241110
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