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Qwen2.5 7B Instruct by unsloth

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Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen2.5-7B-Instruct 

Qwen2.5 7B Instruct Benchmarks

LLME Score: 0.28321
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 (unsloth/Qwen2.5-7B-Instruct)

Qwen2.5 7B Instruct Parameters and Internals

LLM NameQwen2.5 7B Instruct
Repository 🤗https://huggingface.co/unsloth/Qwen2.5-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-7B-Instruct   Qwen/Qwen2.5-7B-Instruct
Model Size7b
Required VRAM15.2 GB
Updated2025-05-15
Maintainerunsloth
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Quantized Models of the Qwen2.5 7B Instruct

Model
Likes
Downloads
VRAM
....5 7B DPO Split1 16bit Chunk120515 GB

Best Alternatives to Qwen2.5 7B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2158404323
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB542
Qwen2.5 7B RRP 1M986K / 15.2 GB576
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB117
Q2.5 Instruct 1M Harmony986K / 15.2 GB152
Impish QWEN 7B 1M986K / 15.2 GB284
COCO 7B Instruct 1M986K / 15.2 GB144
Apollo 7B986K / 15.2 GB60
Qwen2.5 7B Instruct 1M986K / 15.2 GB7872
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB50
Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen2.5-7B-Instruct.

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