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Qwen2 7B Instruct GGUF by second-state

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  Autotrain compatible Base model:quantized:qwen/qwen... Base model:qwen/qwen2-7b-instr...   Chat   Conversational   En   Endpoints compatible   Gguf   Instruct   Q2   Quantized   Qwen2   Region:us
Model Card on HF 🤗: https://huggingface.co/second-state/Qwen2-7B-Instruct-GGUF 

Qwen2 7B Instruct GGUF Benchmarks

LLME Score: 0.20202
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 (second-state/Qwen2-7B-Instruct-GGUF)

Qwen2 7B Instruct GGUF Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (proficient)
Input Output 
Accepted Modalities:
text
LLM NameQwen2 7B Instruct GGUF
Repository 🤗https://huggingface.co/second-state/Qwen2-7B-Instruct-GGUF 
Model NameQwen2-7B-Instruct
Model CreatorQwen
Base Model(s)  Qwen2 7B Instruct   Qwen/Qwen2-7B-Instruct
Model Size7b
Required VRAM3 GB
Updated2025-01-14
Maintainersecond-state
Model Typeqwen2
Instruction-BasedYes
Model Files  3.0 GB   4.1 GB   3.8 GB   3.5 GB   4.4 GB   4.7 GB   4.5 GB   5.3 GB   5.4 GB   5.3 GB   6.2 GB   8.1 GB   15.2 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q2|q4_k|q5_k
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Vocabulary Size152064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than second-state/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 v20241227
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