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Qwen2 1.5B Instruct by Qwen

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  Autotrain compatible   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2-1.5B-Instruct 

Qwen2 1.5B Instruct Benchmarks

MMLU Pro: 16.68
GPQA: 1.57
MUSR: 12.03
BBH: 13.7
IFEval: 33.71 vs 88 (so35)-61.7%
MATH Lvl 5: 7.18
LLME Score: 0.32035
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 1.5B Instruct (Qwen/Qwen2-1.5B-Instruct)

Qwen2 1.5B Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
Qwen2 features an improved tokenizer adaptive to multiple natural languages and codes.
Training Details 
Methodology:
Pretrained with large amounts of data and post-trained with supervised finetuning and direct preference optimization.
Model Architecture:
Transformer architecture with SwiGLU activation, attention QKV bias, group query attention.
LLM NameQwen2 1.5B Instruct
Repository 🤗https://huggingface.co/Qwen/Qwen2-1.5B-Instruct 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-05-18
MaintainerQwen
Model Typeqwen2
Instruction-BasedYes
Model Files  3.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2 1.5B Instruct

Model
Likes
Downloads
VRAM
Qwen2 1.5B Instruct GGUF9265370 GB
Qwen2 1.5B Instruct GPTQ Int4490152 GB
Qwen2 1.5B Instruct AWQ885691 GB
... 1.5B Instruct Replete Adapted26863 GB
Qwen2 1.5B Instruct GGUF04100 GB
Qwen2 1.5B Instruct GPTQ Int842933 GB
Qwen2 1.5B Instruct GGUF0740 GB
Hyper X Qwen2 1.5B It Python0151 GB

Best Alternatives to Qwen2 1.5B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
AceInstruct 1.5B128K / 3.5 GB441120
Gte Qwen2 1.5B Instruct128K / 7.1 GB122494211
... Abliterated TIES Qwen2.5 1.5B128K / 3.5 GB200
Saba1 1.8B128K / 3.6 GB411
Bellatrix 1.5B XElite128K / 3.5 GB203
Miniclaus Qw1.5B UNAMGS128K / 3.5 GB178
Pictor 1338 QwenP 1.5B128K / 7.1 GB470
WiroAI Finance Qwen 1.5B128K / 3.5 GB29619
Horologium QwenC 1.5B128K / 7.1 GB300
Deepthink 1.5B Open PRM128K / 7.1 GB200
Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-1.5B-Instruct.

Rank the Qwen2 1.5B Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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
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