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Qwen2.5 1.5B Instruct by Qwen

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  1762978   
  Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-1.5b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct 

Qwen2.5 1.5B Instruct Benchmarks

MMLU Pro: 19.99
GPQA: 0.78
MUSR: 3.19
BBH: 19.81
IFEval: 44.76 vs 88 (so35)-49.1%
MATH Lvl 5: 22.05
LLME Score: 0.42321
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 1.5B Instruct Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Chat applications, Multilingual text generation
Applications:
Role-play chatbots, Long text generation
Primary Use Cases:
Coding, Mathematics
Limitations:
Limited understanding of unsupported languages
Supported Languages 
English (High), Chinese (High), French (Medium), Spanish (Medium), Portuguese (Medium), German (Medium), Italian (Medium), Russian (Medium), Japanese (Medium), Korean (Medium), Vietnamese (Medium), Thai (Medium), Arabic (Medium)
Training Details 
Methodology:
Pretraining & Post-training
Context Length:
32768
Model Architecture:
Transformers with RoPE, SwiGLU, RMSNorm, Attention QKV bias and tied word embeddings
Input Output 
Input Format:
Chat template with system and user roles
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Use the latest `transformers` library for optimal performance.
LLM NameQwen2.5 1.5B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct 
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
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
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 1.5B Instruct (Qwen/Qwen2.5-1.5B-Instruct)

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Rank the Qwen2.5 1.5B 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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