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Qwen2.5 32B YOYO MIX by YOYO-AI

 »  All LLMs  »  YOYO-AI  »  Qwen2.5 32B YOYO MIX   URL Share it on

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  Merged Model   Autotrain compatible   Base model:qwen/qwen2.5-32b Base model:qwen/qwen2.5-32b-in... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-coder-...   Codegen   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/YOYO-AI/Qwen2.5-32B-YOYO-MIX 

Qwen2.5 32B YOYO MIX Benchmarks

LLME Score: 0.2705
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 32B YOYO MIX (YOYO-AI/Qwen2.5-32B-YOYO-MIX)

Qwen2.5 32B YOYO MIX Parameters and Internals

LLM NameQwen2.5 32B YOYO MIX
Repository 🤗https://huggingface.co/YOYO-AI/Qwen2.5-32B-YOYO-MIX 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-Coder-32B   Qwen/Qwen2.5-Coder-32B-Instruct   Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B-Instruct   Qwen/Qwen2.5-Coder-32B   Qwen/Qwen2.5-Coder-32B-Instruct
Merged ModelYes
Model Size32b
Required VRAM65.7 GB
Updated2025-04-10
MaintainerYOYO-AI
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   1.9 GB: 14-of-14
Supported Languagesen zh
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.49.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB172
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Qwen2.5 Coder 32B Instruct32K / 65.8 GB5004691770
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OlympicCoder 32B32K / 65.8 GB4369148
Qwen2.5 Test 32B It32K / 65.8 GB8310
Note: green Score (e.g. "73.2") means that the model is better than YOYO-AI/Qwen2.5-32B-YOYO-MIX.

Rank the Qwen2.5 32B YOYO MIX 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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