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Qwen2 7B by unsloth

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  Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2-7B 

Qwen2 7B Benchmarks

LLME Score: 0.22732
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B (unsloth/Qwen2-7B)

Qwen2 7B Parameters and Internals

Model Type 
transformers
Additional Notes 
The model can be fine-tuned using Google Colab with Tesla T4 for different versions like Qwen2 7b, Qwen2 0.5b, and Qwen2 1.5b. This finetuning can be done faster and with less memory usage using Unsloth.
LLM NameQwen2 7B
Repository 🤗https://huggingface.co/unsloth/Qwen2-7B 
Model Size7b
Required VRAM15.4 GB
Updated2025-03-20
Maintainerunsloth
Model Typeqwen2
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 Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Qwen2 7B

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB335832273
Hush Qwen2.5 7B Preview986K / 15.2 GB860
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB422
Hush Qwen2.5 7B V1.1986K / 15.2 GB281
Hush Qwen2.5 7B V1.3986K / 15.2 GB272
Hush Qwen2.5 7B V1.2986K / 15.2 GB221
Hush Qwen2.5 7B V1.4986K / 15.2 GB241
Qwen2.5 7B RRP 1M986K / 15.2 GB1656
Qwen2.5 7B Preview986K / 15.2 GB220
Qwen2.5 7B MixStock V0.1986K / 15.2 GB1093
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2-7B.

Rank the Qwen2 7B 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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