Qwen2.5 Coder 3B Instruct by Qwen

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Qwen2.5 Coder 3B Instruct Benchmarks

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 3B Instruct (Qwen/Qwen2.5-Coder-3B-Instruct)

Qwen2.5 Coder 3B Instruct Parameters and Internals

Model Type 
Causal Language Models
Additional Notes 
Qwen2.5-Coder series features models in six sizes: 0.5, 1.5, 3, 7, 14, 32 billion parameters.
Training Details 
Data Sources:
source code, text-code grounding, Synthetic data
Data Volume:
5.5 trillion tokens
Context Length:
32768
Model Architecture:
transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
LLM NameQwen2.5 Coder 3B Instruct
Repository ๐Ÿค—https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct 
Base Model(s)  Qwen/Qwen2.5-Coder-3B   Qwen/Qwen2.5-Coder-3B
Model Size3b
Required VRAM6.2 GB
Updated2025-02-16
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 Coder 3B Instruct

Model
Likes
Downloads
VRAM
...2.5 Coder 3B Instruct Bnb 4bit231742 GB
Qwen2.5 Coder 3B Instruct AWQ39052 GB

Best Alternatives to Qwen2.5 Coder 3B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Dria Agent A 3B32K / 6.2 GB119250
Qwen2.5 Coder 3B Instruct32K / 6.2 GB26082
Arch Function 3B32K / 6.2 GB421106
Hammer2.1 3B32K / 6.2 GB2094
...thon Qwen2.5 Coder 3B Instruct32K / 6.2 GB360
Qwen2.5 Coder 3B Instruct32K /  GB385
...2.5 Coder 3B Instruct Bnb 4bit32K / 2 GB31742
... Coder 3B Instruct Abliterated32K / 6.2 GB2162
Qwen3b Lora Finetune32K / 6.2 GB51
Qwen2.5 Coder 3B Instruct AWQ32K / 2.7 GB9053
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2.5-Coder-3B-Instruct.

Rank the Qwen2.5 Coder 3B 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 v20241227