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Qwen2.5 95B Instruct by ssmits

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  Merged Model Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-72b-in...   Chat   Conversational   En   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ssmits/Qwen2.5-95B-Instruct 

Qwen2.5 95B Instruct Benchmarks

MMLU Pro: 46.85
GPQA: 15.21
MUSR: 13.61
BBH: 58.53
IFEval: 84.31 vs 88 (so35)-4.2%
MATH Lvl 5: 53.02
LLME Score: 0.34876
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 95B Instruct (ssmits/Qwen2.5-95B-Instruct)

Qwen2.5 95B Instruct Parameters and Internals

LLM NameQwen2.5 95B Instruct
Repository 🤗https://huggingface.co/ssmits/Qwen2.5-95B-Instruct 
Base Model(s)  Qwen/Qwen2.5-72B-Instruct   Qwen/Qwen2.5-72B-Instruct
Merged ModelYes
Model Size72b
Required VRAM190.1 GB
Updated2025-02-22
Maintainerssmits
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-40   5.0 GB: 2-of-40   5.0 GB: 3-of-40   4.6 GB: 4-of-40   5.0 GB: 5-of-40   4.9 GB: 6-of-40   4.7 GB: 7-of-40   5.0 GB: 8-of-40   4.6 GB: 9-of-40   5.0 GB: 10-of-40   4.8 GB: 11-of-40   5.0 GB: 12-of-40   4.6 GB: 13-of-40   5.0 GB: 14-of-40   5.0 GB: 15-of-40   4.6 GB: 16-of-40   4.8 GB: 17-of-40   5.0 GB: 18-of-40   4.8 GB: 19-of-40   4.8 GB: 20-of-40   4.8 GB: 21-of-40   5.0 GB: 22-of-40   4.8 GB: 23-of-40   4.8 GB: 24-of-40   5.0 GB: 25-of-40   4.9 GB: 26-of-40   4.6 GB: 27-of-40   4.8 GB: 28-of-40   4.8 GB: 29-of-40   5.0 GB: 30-of-40   4.8 GB: 31-of-40   4.8 GB: 32-of-40   4.8 GB: 33-of-40   5.0 GB: 34-of-40   4.8 GB: 35-of-40   4.8 GB: 36-of-40   4.8 GB: 37-of-40   5.0 GB: 38-of-40   5.0 GB: 39-of-40   0.6 GB: 40-of-40
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than ssmits/Qwen2.5-95B-Instruct.

Rank the Qwen2.5 95B Instruct 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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