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Qwen2.5 14B 1M YOYO V3 by YOYO-AI

 »  All LLMs  »  YOYO-AI  »  Qwen2.5 14B 1M YOYO V3   URL Share it on

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  Arxiv:2403.19522   Arxiv:2406.11617 Base model:arcee-ai/virtuoso-s... Base model:azure99/blossom-v6-... Base model:eva-unit-01/eva-qwe... Base model:merge:arcee-ai/virt... Base model:merge:azure99/bloss... Base model:merge:eva-unit-01/e... Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-... Base model:merge:qwen/qwen2.5-...   Base model:qwen/qwen2.5-14b Base model:qwen/qwen2.5-14b-in... Base model:qwen/qwen2.5-14b-in...   Conversational   En   Instruct   Merge   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3 

Qwen2.5 14B 1M YOYO V3 Benchmarks

MMLU Pro: 46.74
GPQA: 10.51
MUSR: 11.1
BBH: 49.47
IFEval: 83.98 vs 88 (so35)-4.6%
MATH Lvl 5: 53.55
LLME Score: 0.38524
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 1M YOYO V3 (YOYO-AI/Qwen2.5-14B-1M-YOYO-V3)

Qwen2.5 14B 1M YOYO V3 Parameters and Internals

LLM NameQwen2.5 14B 1M YOYO V3
Repository 🤗https://huggingface.co/YOYO-AI/Qwen2.5-14B-1M-YOYO-V3 
Base Model(s)  Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct-1M   EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2   Blossom V6 14B   Virtuoso Small V2   Qwen/Qwen2.5-14B   Qwen/Qwen2.5-14B-Instruct   Qwen/Qwen2.5-14B-Instruct-1M   EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2   Azure99/Blossom-V6-14B   arcee-ai/Virtuoso-Small-v2
Model Size14b
Required VRAM29.7 GB
Updated2025-03-20
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
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length1010000
Model Max Length1010000
Transformers Version4.48.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-14B-1M-YOYO-V3.

Rank the Qwen2.5 14B 1M YOYO V3 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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