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FuseQwQen 7B by bunnycore

 »  All LLMs  »  bunnycore  »  FuseQwQen 7B   URL Share it on

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  Arxiv:2203.05482   Autotrain compatible Base model:bunnycore/qwen-2.1-... Base model:fblgit/cybertron-v4... Base model:fuseai/fusechat-qwe... Base model:merge:bunnycore/qwe... Base model:merge:fblgit/cybert... Base model:merge:fuseai/fusech... Base model:merge:prithivmlmods... Base model:prithivmlmods/qwq-l...   Conversational   Endpoints compatible   Instruct   Lora   Merge   Mergekit   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/FuseQwQen-7B 

FuseQwQen 7B Benchmarks

MMLU Pro: 37.85
GPQA: 5.93
MUSR: 11.98
BBH: 35.91
IFEval: 72.75 vs 88 (so35)-17.3%
MATH Lvl 5: 43.66
LLME Score: 0.31767
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FuseQwQen 7B (bunnycore/FuseQwQen-7B)

FuseQwQen 7B Parameters and Internals

LLM NameFuseQwQen 7B
Repository 🤗https://huggingface.co/bunnycore/FuseQwQen-7B 
Base Model(s)  FuseAI/FuseChat-Qwen-2.5-7B-Instruct   Cybertron V4 Qw7B UNAMGS   bunnycore/Qwen-2.1-7b-Persona-lora_model   QwQ LCoT 7B Instruct   Cybertron V4 Qw7B UNAMGS   FuseAI/FuseChat-Qwen-2.5-7B-Instruct   fblgit/cybertron-v4-qw7B-UNAMGS   bunnycore/Qwen-2.1-7b-Persona-lora_model   prithivMLmods/QwQ-LCoT-7B-Instruct   fblgit/cybertron-v4-qw7B-UNAMGS
Model Size7b
Required VRAM15.2 GB
Updated2025-05-31
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 Length32768
Model Max Length32768
Transformers Version4.46.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to FuseQwQen 7B

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Qwen2.5 7B Sky R1 Mini986K / 15.2 GB130
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/FuseQwQen-7B.

Rank the FuseQwQen 7B 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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