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Qwen2.5 7B Instruct by RedHatAI

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  Arxiv:2309.00071   Arxiv:2407.10671   Ar Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Bg   Conversational   Cs   Da   De   El   En   Es   Fa   Fi   Fr   He   Id   Instruct   It   Ja   Ko   Ms   Nl   Nld   No   Pl   Pt   Qwen   Qwen2   Qwen2 5   Qwen2 5 instruct   Region:us   Ru   Safetensors   Sharded   Sr   Sv   Tensorflow   Th   Tr   Uk   Ur   Vi   Zh   Zsm
Model Card on HF 🤗: https://huggingface.co/RedHatAI/Qwen2.5-7B-Instruct 

Qwen2.5 7B Instruct Benchmarks

LLME Score: 0.23848
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct (RedHatAI/Qwen2.5-7B-Instruct)
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Qwen2.5 7B Instruct Parameters and Internals

LLM NameQwen2.5 7B Instruct
Repository 🤗https://huggingface.co/RedHatAI/Qwen2.5-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.4 GB
Updated2025-09-19
MaintainerRedHatAI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languageszh en fr es pt de it ru ja ko vi th ar id tr fa nl pl cs he sv fi da el bg uk ur sr ms
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB43986347
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Qwen2.5 7B Sky R1 Mini986K / 15.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than RedHatAI/Qwen2.5-7B-Instruct.

Rank the Qwen2.5 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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