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Qwen2.5 7B Rebase by Nitral-AI

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  Merged Model   Arxiv:2403.19522   Autotrain compatible   Base model:qwen/qwen2.5-7b Base model:qwen/qwen2.5-7b-ins... Base model:qwen/qwen2.5-coder-... Base model:qwen/qwen2.5-math-7... Base model:xiaojian9992024/qwe...   Codegen   Conversational   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Qwen2.5-7B-Rebase 

Qwen2.5 7B Rebase Benchmarks

LLME Score: 0.25607
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 Rebase (Nitral-AI/Qwen2.5-7B-Rebase)

Qwen2.5 7B Rebase Parameters and Internals

LLM NameQwen2.5 7B Rebase
Repository 🤗https://huggingface.co/Nitral-AI/Qwen2.5-7B-Rebase 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct-1M   Qwen/Qwen2.5-Math-7B   Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview   Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B-Instruct-1M   Qwen/Qwen2.5-Math-7B   Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview   Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-7B
Merged ModelYes
Model Size7b
Required VRAM15.2 GB
Updated2025-03-27
MaintainerNitral-AI
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
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Context Length1010000
Model Max Length1010000
Transformers Version4.49.0
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 Nitral-AI/Qwen2.5-7B-Rebase.

Rank the Qwen2.5 7B Rebase 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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Release v20241227
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