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FuseCyberMix Qwen 2.5 7B Instruct by bunnycore

 »  All LLMs  »  bunnycore  »  FuseCyberMix Qwen 2.5 7B Instruct   URL Share it on

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  Arxiv:2203.05482   Autotrain compatible Base model:fblgit/cybertron-v4... Base model:fuseai/fusechat-qwe... Base model:merge:fblgit/cybert... Base model:merge:fuseai/fusech... Base model:merge:qwen/qwen2.5-... Base model:qwen/qwen2.5-7b-ins...   Conversational   Endpoints compatible   Instruct   Merge   Mergekit   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct 

FuseCyberMix Qwen 2.5 7B Instruct Benchmarks

MMLU Pro: 37.08
GPQA: 6.26
MUSR: 8.72
BBH: 36.37
IFEval: 70.19 vs 88 (so35)-20.2%
MATH Lvl 5: 0.08
LLME Score: 0.31812
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
FuseCyberMix Qwen 2.5 7B Instruct (bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct)

FuseCyberMix Qwen 2.5 7B Instruct Parameters and Internals

LLM NameFuseCyberMix Qwen 2.5 7B Instruct
Repository 🤗https://huggingface.co/bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct 
Base Model(s)  Cybertron V4 Qw7B UNAMGS   FuseAI/FuseChat-Qwen-2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct   fblgit/cybertron-v4-qw7B-UNAMGS   FuseAI/FuseChat-Qwen-2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
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 Version4.46.2
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 bunnycore/FuseCyberMix-Qwen-2.5-7B-Instruct.

Rank the FuseCyberMix Qwen 2.5 7B 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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