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Qwen1.5 MoE A2.7B Chat by Qwen

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

Qwen1.5 MoE A2.7B Chat Benchmarks

MMLU Pro: 21.37
GPQA: 3.24
MUSR: 6.33
BBH: 20.04
IFEval: 37.95 vs 88 (so35)-56.9%
ARC: 53.67 vs 96.7 (so35)-44.5%
HellaSwag: 80.54 vs 95.3 (gpt4)-15.5%
MMLU: 60.97 vs 88.3 (so35)-31%
TruthfulQA: 50.56 vs 59 (gpt4)-14.3%
WinoGrande: 69.38 vs 87.5 (gpt4)-20.7%
GSM8K: 28.2 vs 96.4 (so35)-70.7%
LLME Score: 0.31523
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 Chat (Qwen/Qwen1.5-MoE-A2.7B-Chat)

Qwen1.5 MoE A2.7B Chat Parameters and Internals

Model Type 
text generation, chat
Additional Notes 
The model has an inference speed 1.74 times that of Qwen1.5-7B.
Supported Languages 
en (unknown)
Training Details 
Methodology:
Supervised finetuning and direct preference optimization
Model Architecture:
Transformer-based MoE decoder-only
Input Output 
Input Format:
Prompt structure with system and user roles for chat
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Use provided hyper-parameters in `generation_config.json` for better performance in certain cases.
LLM NameQwen1.5 MoE A2.7B Chat
Repository 🤗https://huggingface.co/Qwen/Qwen1.5-MoE-A2.7B-Chat 
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 Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Instruction Following and Task Automation  
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Release v20241227
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