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Qwen2.5 7B Instruct 131K by MasterControlAIML

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  Arxiv:2309.00071   Arxiv:2407.10671   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Chat   Conversational   En   Endpoints compatible   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/MasterControlAIML/Qwen2.5-7B-Instruct-131K 

Qwen2.5 7B Instruct 131K Benchmarks

LLME Score: 0.25296
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 131K (MasterControlAIML/Qwen2.5-7B-Instruct-131K)
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Qwen2.5 7B Instruct 131K Parameters and Internals

LLM NameQwen2.5 7B Instruct 131K
Repository 🤗https://huggingface.co/MasterControlAIML/Qwen2.5-7B-Instruct-131K 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.4 GB
Updated2025-07-19
MaintainerMasterControlAIML
Model Typeqwen2
Instruction-BasedYes
Model Files  4.0 GB: 1-of-4   3.9 GB: 2-of-4   3.9 GB: 3-of-4   3.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.43.1
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 MasterControlAIML/Qwen2.5-7B-Instruct-131K.

Rank the Qwen2.5 7B Instruct 131K 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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