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Qwen2.5 14B YOYO SCE by YOYO-AI

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

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  Merged Model Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-14b   Conversational   En   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-SCE 

Qwen2.5 14B YOYO SCE Benchmarks

MMLU Pro: 48.67
GPQA: 16.55
MUSR: 18.74
BBH: 49.46
IFEval: 58.44 vs 88 (so35)-33.6%
MATH Lvl 5: 46.15
LLME Score: 0.36492
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 SCE (YOYO-AI/Qwen2.5-14B-YOYO-SCE)

Qwen2.5 14B YOYO SCE Parameters and Internals

LLM NameQwen2.5 14B YOYO SCE
Repository 🤗https://huggingface.co/YOYO-AI/Qwen2.5-14B-YOYO-SCE 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B
Merged ModelYes
Model Size14b
Required VRAM29.7 GB
Updated2025-03-13
MaintainerYOYO-AI
Model Typeqwen2
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
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Qwen2.5 14B 1M YOYO V3986K / 29.7 GB2243
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Calcium Opus 14B Elite 1M986K / 29.7 GB83013
...14B Instruct 1M GRPO Reasoning986K / 29.7 GB3164
Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-14B-YOYO-SCE.

Rank the Qwen2.5 14B YOYO SCE 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  
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Multi-Language Support and Translation  

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Release v20241227
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