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QwenQwen2.5 7B IT by ehristoforu

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  Merged Model   Arxiv:2306.01708   Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ehristoforu/QwenQwen2.5-7B-IT 

QwenQwen2.5 7B IT Benchmarks

MMLU Pro: 36.55
GPQA: 7.16
MUSR: 8.72
BBH: 34.97
IFEval: 75.18 vs 88 (so35)-14.6%
MATH Lvl 5: 50.91
LLME Score: 0.35244
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwenQwen2.5 7B IT (ehristoforu/QwenQwen2.5-7B-IT)

QwenQwen2.5 7B IT Parameters and Internals

LLM NameQwenQwen2.5 7B IT
Repository 🤗https://huggingface.co/ehristoforu/QwenQwen2.5-7B-IT 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-03-12
Maintainerehristoforu
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ehristoforu/QwenQwen2.5-7B-IT.

Rank the QwenQwen2.5 7B IT 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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