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Qwen2 7B Alpacha Q8 0 by dbands

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Qwen2 7B Alpacha Q8 0 is an open-source language model by dbands. Features: 7b LLM, VRAM: 9.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.13.

  4bit Base model:quantized:unsloth/q... Base model:unsloth/qwen2-7b-bn...   En   Endpoints compatible   Gemma   Gguf   Q8   Q8 0   Quantized   Qwen2   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/dbands/Qwen2-7b-Alpacha-Q8_0 

Qwen2 7B Alpacha Q8 0 Benchmarks

LLME Score: 0.13442
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 Q8 0 (dbands/Qwen2-7b-Alpacha-Q8_0)
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Qwen2 7B Alpacha Q8 0 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 Q8 0
Repository 🤗https://huggingface.co/dbands/Qwen2-7b-Alpacha-Q8_0 
Base Model(s)  Qwen2 7B Bnb 4bit   unsloth/Qwen2-7B-bnb-4bit
Model Size7b
Required VRAM9.1 GB
Updated2026-04-01
Maintainerdbands
Model Typegemma
Model Files  9.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q8|q8_0|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-Q8_0.

Rank the Qwen2 7B Alpacha Q8 0 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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