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Qwen2 7B Alpacha 16bit GGUF by dbands

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  4bit Base model:quantized:unsloth/q... Base model:unsloth/qwen2-7b-bn...   En   Endpoints compatible   Gemma   Gguf   Quantized   Qwen2   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/dbands/Qwen2-7b-Alpacha-16bit-GGUF 

Qwen2 7B Alpacha 16bit GGUF Benchmarks

LLME Score: 0.16167
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2 7B Alpacha 16bit GGUF (dbands/Qwen2-7b-Alpacha-16bit-GGUF)
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Qwen2 7B Alpacha 16bit GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, qwen2, gguf
Additional Notes 
This qwen2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameQwen2 7B Alpacha 16bit GGUF
Repository 🤗https://huggingface.co/dbands/Qwen2-7b-Alpacha-16bit-GGUF 
Base Model(s)  Qwen2 7B Bnb 4bit   unsloth/Qwen2-7B-bnb-4bit
Model Size7b
Required VRAM17.1 GB
Updated2025-09-10
Maintainerdbands
Model Typegemma
Model Files  17.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than dbands/Qwen2-7b-Alpacha-16bit-GGUF.

Rank the Qwen2 7B Alpacha 16bit 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 v20241124
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