Qwen2 7B Instruct GGUF by MaziyarPanahi

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Qwen2 7B Instruct GGUF Benchmarks

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 GGUF Parameters and Internals

Model Type 
text-generation
Additional Notes 
Quantized by MaziyarPanahi into GGUF format, which replaces the outdated GGML format.
LLM NameQwen2 7B Instruct GGUF
Repository ๐Ÿค—https://huggingface.co/MaziyarPanahi/Qwen2-7B-Instruct-GGUF 
Model NameQwen2-7B-Instruct-GGUF
Model CreatorQwen
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM1.9 GB
Updated2024-11-21
MaintainerMaziyarPanahi
Model Typemistral
Instruction-BasedYes
Model Files  2.0 GB   1.9 GB   2.5 GB   3.4 GB   4.2 GB   3.0 GB   4.1 GB   3.8 GB   3.5 GB   4.7 GB   4.5 GB   5.4 GB   5.3 GB   6.2 GB   8.1 GB   15.2 GB
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureAutoModel
Qwen2 7B Instruct GGUF (MaziyarPanahi/Qwen2-7B-Instruct-GGUF)

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Pixel8K / 4.4 GB180
Mistral 7B Instruct V0.3 GGUF0K / 1.6 GB197055363
Mistral 7B Instruct V0.2 GGUF0K / 3.1 GB138341398
Mistral 7B Instruct V0.3 GGUF0K / 2.7 GB583277
Qwen2 7B Instruct V0.6 GGUF0K / 4.5 GB135220
Mistral 7B Instruct V0.1 GGUF0K / 3.1 GB188922511
Qwen2 7B Instruct V0.1 GGUF0K / 4.5 GB97140
Qwen2 7B Instruct V0.7 GGUF0K / 4.5 GB95300
Qwen2 7B Instruct V0.3 GGUF0K / 4.5 GB89111
Qwen2 7B Instruct V0.2 GGUF0K / 4.5 GB79860
Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/Qwen2-7B-Instruct-GGUF.

Rank the Qwen2 7B Instruct GGUF 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 v20241110