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Qwen2.5 Dyanka 7B Preview V0.2 by Xiaojian9992024

 »  All LLMs  »  Xiaojian9992024  »  Qwen2.5 Dyanka 7B Preview V0.2   URL Share it on

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  Merged Model   Autotrain compatible Base model:lkoenig/bbai 230 xi... Base model:pe-nlp/r1-qwen2.5-7... Base model:prithivmlmods/qwq-m... Base model:prithivmlmods/viper... Base model:xiaojian9992024/qwe...   Codegen   Conversational   Endpoints compatible   Goofy ahh model   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2 

Qwen2.5 Dyanka 7B Preview V0.2 Benchmarks

MMLU Pro: 37.45
GPQA: 5.82
MUSR: 15.47
BBH: 34.36
IFEval: 67.02 vs 88 (so35)-23.8%
MATH Lvl 5: 47.21
LLME Score: 0.32428
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 Dyanka 7B Preview V0.2 (Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2)
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Qwen2.5 Dyanka 7B Preview V0.2 Parameters and Internals

LLM NameQwen2.5 Dyanka 7B Preview V0.2
Repository 🤗https://huggingface.co/Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview-v0.2 
Base Model(s)  QwQ MathOct 7B   pe-nlp/R1-Qwen2.5-7B-Instruct   prithivMLmods/Viper-Coder-HybridMini-v1.3   BBAI 230 Xiaqwen   Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview   prithivMLmods/QwQ-MathOct-7B   pe-nlp/R1-Qwen2.5-7B-Instruct   prithivMLmods/Viper-Coder-HybridMini-v1.3   lkoenig/BBAI_230_Xiaqwen   Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-07-02
MaintainerXiaojian9992024
Model Typeqwen2
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Rank the Qwen2.5 Dyanka 7B Preview V0.2 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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