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Qwen2.5 14B YOYO V4 by YOYO-AI

 »  All LLMs  »  YOYO-AI  »  Qwen2.5 14B YOYO V4   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-V4 

Qwen2.5 14B YOYO V4 Benchmarks

MMLU Pro: 46.33
GPQA: 9.62
MUSR: 10.64
BBH: 49.67
IFEval: 83.98 vs 88 (so35)-4.6%
MATH Lvl 5: 53.47
LLME Score: 0.42842
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 14B YOYO V4 (YOYO-AI/Qwen2.5-14B-YOYO-V4)

Qwen2.5 14B YOYO V4 Parameters and Internals

LLM NameQwen2.5 14B YOYO V4
Repository 🤗https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-V4 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct-1M   tanliboy/lambda-qwen2.5-14b-dpo-test   SuperNova Medius   Virtuoso Small V2   Blossom V6 14B   Qwen/Qwen2.5-Coder-14B   Qwen/Qwen2.5-Coder-14B-Instruct   DeepSeek R1 Distill Qwen 14B   ...istill Qwen 14B Abliterated V2   Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct-1M   tanliboy/lambda-qwen2.5-14b-dpo-test   arcee-ai/SuperNova-Medius   arcee-ai/Virtuoso-Small-v2   Azure99/Blossom-V6-14B   Qwen/Qwen2.5-Coder-14B   Qwen/Qwen2.5-Coder-14B-Instruct   deepseek-ai/DeepSeek-R1-Distill-Qwen-14B   huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2
Model Size14b
Required VRAM29.7 GB
Updated2025-03-12
MaintainerYOYO-AI
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.8 GB: 6-of-6
Supported Languagesen zh
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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ZYH LLM Qwen2.5 14B V2986K / 29.7 GB1191
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Qwen2.5 14B YOYO V4 P232K / 29.7 GB662
...LSG Qwen2.5 14B OriginalFusion32K / 29.7 GB622
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Qwen2.5 Coder 14B YOYO 101032K / 29.7 GB850
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Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-14B-YOYO-V4.

Rank the Qwen2.5 14B YOYO V4 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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