Qwen2.5 Coder 1.5B by Qwen

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  Arxiv:2407.10671   Arxiv:2409.12186   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-1.5b   Code   Codegen   Codeqwen   Conversational   En   Endpoints compatible   Qwen   Qwen-coder   Qwen2   Region:us   Safetensors
Model Card on HF ๐Ÿค—: https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B 

Qwen2.5 Coder 1.5B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Qwen2.5 Coder 1.5B Parameters and Internals

Model Type 
causal language model, code generation
Use Cases 
Areas:
real-world applications, code agents
Applications:
code generation, code reasoning, code fixing
Limitations:
not recommended for conversation without post-training
Additional Notes 
Model supports a long context up to 128k tokens using YaRN for length extrapolation.
Supported Languages 
en (English)
Training Details 
Data Sources:
source code, text-code grounding, synthetic data
Data Volume:
5.5 trillion tokens
Methodology:
Pretraining & Post-training
Context Length:
131072
Hardware Used:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Accepted Modalities:
text
Performance Tips:
Recommend using vLLM for deployment with considerations for rope_scaling in long contexts.
LLM NameQwen2.5 Coder 1.5B
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B 
Base Model(s)  Qwen/Qwen2.5-1.5B   Qwen/Qwen2.5-1.5B
Model Size1.5b
Required VRAM3.1 GB
Updated2025-06-09
MaintainerQwen
Model Typeqwen2
Model Files  3.1 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
Qwen2.5 Coder 1.5B (Qwen/Qwen2.5-Coder-1.5B)

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Qwen2.5 Coder 1.5B Bnb 4bit211171 GB

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Coder-1.5B.

Rank the Qwen2.5 Coder 1.5B 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 v20241124