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Qwen2.5 7B Matrix by bunnycore

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  Merged Model   Arxiv:2403.19522   Autotrain compatible Base model:claudioitaly/qwen2....   Base model:fourohfour/vapor 7b Base model:goekdeniz-guelmez/j... Base model:huihui-ai/qwen2.5-7...   Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-math-7...   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-Matrix 

Qwen2.5 7B Matrix Benchmarks

LLME Score: 0.2169
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 Matrix (bunnycore/Qwen2.5-7B-Matrix)

Qwen2.5 7B Matrix Parameters and Internals

Additional Notes 
This model was created by merging multiple pre-trained models using the Model Stock merge method with mergekit.
LLM NameQwen2.5 7B Matrix
Repository 🤗https://huggingface.co/bunnycore/Qwen2.5-7B-Matrix 
Base Model(s)  ClaudioItaly/Qwen2.5-Boster   huihui-ai/Qwen2.5-7B-Instruct-abliterated   Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-7B   Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2   Vapor 7B   ClaudioItaly/Qwen2.5-Boster   huihui-ai/Qwen2.5-7B-Instruct-abliterated   Qwen/Qwen2.5-Math-7B   Qwen/Qwen2.5-7B   Isaak-Carter/Josiefied-Qwen2.5-7B-Instruct-abliterated-v2   FourOhFour/Vapor_7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-02-22
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 Version4.44.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2.5 7B Matrix

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Qwen2.5 7B Instruct 1M986K / 15.4 GB289038236
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COCO 7B Instruct 1M986K / 15.2 GB1059
Q2.5 Instruct 1M Harmony986K / 15.2 GB611
Impish QWEN 7B 1M986K / 15.2 GB701
Qwen2.5 7B DeepSeek R1 1M986K / 15.2 GB8810
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB250
Qwen2.5 7B Instruct 1M986K / 15.2 GB6332
MwM 7B CoT Merge1986K / 15.2 GB432
Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-Matrix.

Rank the Qwen2.5 7B Matrix 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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