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Qwen2.5 7B Instruct Fusion by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:fblgit/cybertron-v4...   Base model:qwen/qwen2.5-7b Base model:rombodawg/rombos-ll... Base model:sethuiyer/qwen2.5-7...   Conversational   Endpoints compatible   Instruct   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-Instruct-Fusion 

Qwen2.5 7B Instruct Fusion Benchmarks

MMLU Pro: 38.53
GPQA: 7.27
MUSR: 12.95
BBH: 36.18
IFEval: 69.62 vs 88 (so35)-20.9%
MATH Lvl 5: 34.06
LLME Score: 0.28204
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 7B Instruct Fusion (bunnycore/Qwen2.5-7B-Instruct-Fusion)
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Qwen2.5 7B Instruct Fusion Parameters and Internals

LLM NameQwen2.5 7B Instruct Fusion
Repository 🤗https://huggingface.co/bunnycore/Qwen2.5-7B-Instruct-Fusion 
Base Model(s)  Qwen/Qwen2.5-7B   rombodawg/Rombos-LLM-V2.5-Qwen-7b   Cybertron V4 Qw7B MGS   sethuiyer/Qwen2.5-7B-Anvita   Qwen/Qwen2.5-7B   rombodawg/Rombos-LLM-V2.5-Qwen-7b   fblgit/cybertron-v4-qw7B-MGS   sethuiyer/Qwen2.5-7B-Anvita
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-09-23
Maintainerbunnycore
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   0.3 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 7B Instruct 1M986K / 15.4 GB169878351
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Q2.5 Instruct 1M Harmony986K / 15.2 GB32
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COCO 7B Instruct 1M986K / 15.2 GB34
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Apollo 7B986K / 15.2 GB60
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB60
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-Instruct-Fusion.

Rank the Qwen2.5 7B Instruct Fusion 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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