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Qwen2.5 Coder 0.5B by Qwen

 »  All LLMs  »  Qwen  »  Qwen2.5 Coder 0.5B   URL Share it on

  14765   
  Arxiv:2407.10671   Arxiv:2409.12186   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-0.5b   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B 

Qwen2.5 Coder 0.5B Benchmarks

LLME Score: 0.29668
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 0.5B (Qwen/Qwen2.5-Coder-0.5B)

Qwen2.5 Coder 0.5B Parameters and Internals

Model Type 
code generation
Additional Notes 
We do not recommend using base language models for conversations. Instead, apply post-training (e.g., SFT, RLHF, continued pretraining).
Training Details 
Data Sources:
source code, text-code grounding, Synthetic data
Data Volume:
5.5 trillion tokens
Methodology:
Pretraining
Context Length:
32768
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 Coder 0.5B
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B 
Base Model(s)  Qwen/Qwen2.5-0.5B   Qwen/Qwen2.5-0.5B
Model Size0.5b
Required VRAM1 GB
Updated2025-03-25
MaintainerQwen
Model Typeqwen2
Model Files  1.0 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
Text Generation  
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Code Generation  
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Release v20241227
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