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Qwen2 7B Instruct by unsloth

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Qwen2 7B Instruct Benchmarks

LLME Score: 0.2867
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 7B Instruct Parameters and Internals

LLM NameQwen2 7B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2-7B-Instruct 
Model Size7b
Required VRAM15.4 GB
Updated2024-09-08
Maintainerunsloth
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 Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Qwen2 7B Instruct (unsloth/Qwen2-7B-Instruct)

Quantized Models of the Qwen2 7B Instruct

Model
Likes
Downloads
VRAM
Qwen 7B 16bit 20015 GB

Best Alternatives to Qwen2 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2 7B Instruct V0.1128K / 15.2 GB409681
Gte Qwen2 7B Instruct128K / 30.5 GB27520152
Qwen2 7B Instruct V0.8128K / 15.2 GB409903
Einstein V7 Qwen2 7B128K / 15.2 GB452134
...nity Instruct 3M 0625 Qwen2 7B128K / 15.2 GB46997
Samantha Qwen 2 7B128K / 15.2 GB44132
Qwen2 7B Instruct V0.4128K / 15.2 GB410081
Qwen2 7B Instruct V0.5128K / 15.2 GB410191
Qwen2 7B Instruct V0.7128K / 15.2 GB409721
Qwen2 7B Instruct V0.3128K / 15.2 GB409431
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-7B-Instruct.

Rank the Qwen2 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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Release v2024072803
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