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Qwen2 7B Multilingual RP by maywell

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  Autotrain compatible   Conversational   En   Endpoints compatible   Es   Ja   Ko   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/maywell/Qwen2-7B-Multilingual-RP 

Qwen2 7B Multilingual RP Benchmarks

MMLU Pro: 31.77
GPQA: 6.26
MUSR: 6.23
BBH: 30.54
IFEval: 43.47 vs 88 (so35)-50.6%
MATH Lvl 5: 22.51
LLME Score: 0.31831
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Multilingual RP (maywell/Qwen2-7B-Multilingual-RP)

Qwen2 7B Multilingual RP Parameters and Internals

Supported Languages 
en (unknown), ko (unknown), ja (unknown), zh (unknown), es (unknown)
Training Details 
Data Volume:
2B
Context Length:
32768
Training Time:
> 1,000H
Hardware Used:
A100 80G SXM * 8
LLM NameQwen2 7B Multilingual RP
Repository 🤗https://huggingface.co/maywell/Qwen2-7B-Multilingual-RP 
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
Maintainermaywell
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen ko ja zh es
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than maywell/Qwen2-7B-Multilingual-RP.

Rank the Qwen2 7B Multilingual RP 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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Release v20241227
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