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Qwen1.5 MoE A2.7B by Qwen

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  Autotrain compatible   Conversational   En   Endpoints compatible   Moe   Pretrained   Qwen2 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B 

Qwen1.5 MoE A2.7B Benchmarks

MMLU Pro: 19.75
GPQA: 1.23
MUSR: 7.97
BBH: 18.84
IFEval: 26.6 vs 88 (so35)-69.8%
ARC: 54.86 vs 96.7 (so35)-43.3%
HellaSwag: 79.39 vs 95.3 (gpt4)-16.7%
MMLU: 62.54 vs 88.3 (so35)-29.2%
TruthfulQA: 50.09 vs 59 (gpt4)-15.1%
WinoGrande: 72.3 vs 87.5 (gpt4)-17.4%
GSM8K: 16.98 vs 96.4 (so35)-82.4%
MATH Lvl 5: 0.15
LLME Score: 0.29417
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen1.5 MoE A2.7B (Qwen/Qwen1.5-MoE-A2.7B)

Qwen1.5 MoE A2.7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
Qwen1.5-MoE employs a Mixture of Experts (MoE) architecture, with 14.3B parameters total and 2.7B activated during runtime. It's optimized for performance and efficiency, with only 25% of the training resources compared to similar models. The model is available on Hugging Face and requires the latest transformers library for implementation.
Supported Languages 
en (native)
LLM NameQwen1.5 MoE A2.7B
Repository 🤗https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B 
Model Size14.3b
Required VRAM28.7 GB
Updated2025-02-05
MaintainerQwen
Model Typeqwen2_moe
Model Files  4.0 GB: 1-of-8   4.0 GB: 2-of-8   4.0 GB: 3-of-8   4.0 GB: 4-of-8   4.0 GB: 5-of-8   4.0 GB: 6-of-8   4.0 GB: 7-of-8   0.7 GB: 8-of-8
Supported Languagesen
Model ArchitectureQwen2MoeForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen1.5-MoE-A2.7B.

Rank the Qwen1.5 MoE A2.7B 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
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