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HyperAutoGGUF Q4 by HyperdustProtocol

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HyperAutoGGUF Q4 is an open-source language model by HyperdustProtocol. Features: 7b LLM, VRAM: 4.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-2-7b-...   En   Endpoints compatible   Gguf   Llama   Q4   Quantized   Region:us   Unsloth
Model Card on HF 🤗: https://huggingface.co/HyperdustProtocol/HyperAutoGGUF-q4 

HyperAutoGGUF Q4 Benchmarks

LLME Score: 0.1357
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
HyperAutoGGUF Q4 (HyperdustProtocol/HyperAutoGGUF-q4)
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HyperAutoGGUF Q4 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, gguf
Additional Notes 
This Llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameHyperAutoGGUF Q4
Repository 🤗https://huggingface.co/HyperdustProtocol/HyperAutoGGUF-q4 
Base Model(s)  Llama 2 7B Bnb 4bit   unsloth/llama-2-7b-bnb-4bit
Model Size7b
Required VRAM4.1 GB
Updated2026-04-23
MaintainerHyperdustProtocol
Model Typellama
Model Files  4.1 GB
Supported Languagesen
GGUF QuantizationYes
Quantization Typegguf|q4|4bit
Model ArchitectureAutoModel
Licenseapache-2.0

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Note: green Score (e.g. "73.2") means that the model is better than HyperdustProtocol/HyperAutoGGUF-q4.

Rank the HyperAutoGGUF Q4 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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