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Maqa Llama 4bit GGUF by AliAbdelrasheed

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Maqa Llama 4bit GGUF is an open-source language model by AliAbdelrasheed. Features: LLM, VRAM: 4.9GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.15.

  4bit   Conversational   Endpoints compatible   Gguf   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/AliAbdelrasheed/maqa_llama_4bit_GGUF 

Maqa Llama 4bit GGUF Benchmarks

LLME Score: 0.15273
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Maqa Llama 4bit GGUF (AliAbdelrasheed/maqa_llama_4bit_GGUF)
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Maqa Llama 4bit GGUF Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, gguf
Additional Notes 
The model was trained 2x faster using Unsloth and Huggingface's TRL library.
Supported Languages 
en (proficient)
LLM NameMaqa Llama 4bit GGUF
Repository 🤗https://huggingface.co/AliAbdelrasheed/maqa_llama_4bit_GGUF 
Base Model(s)  Maqa Llama   AliAbdelrasheed/maqa_llama
Required VRAM4.9 GB
Updated2026-03-16
MaintainerAliAbdelrasheed
Model Typellama
Model Files  16.1 GB   4.9 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 AliAbdelrasheed/maqa_llama_4bit_GGUF.

Rank the Maqa Llama 4bit 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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