Maqa Llama 4bit by AliAbdelrasheed

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Maqa Llama 4bit is an open-source language model by AliAbdelrasheed. Features: 8.2b LLM, VRAM: 5.8GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.14.

  4-bit   4bit   Bitsandbytes   Conversational   Endpoints compatible   Gguf   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Maqa Llama 4bit Benchmarks

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 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl
Additional Notes 
The model was trained 2x faster using the Unsloth framework and Huggingface's TRL library.
Supported Languages 
en (unknown), ar (unknown)
LLM NameMaqa Llama 4bit
Repository 🤗https://huggingface.co/AliAbdelrasheed/maqa_llama_4bit 
Base Model(s)  maqa_llama_4bit_GGUF   /maqa_llama_4bit_GGUF
Model Size8.2b
Required VRAM5.8 GB
Updated2026-03-31
MaintainerAliAbdelrasheed
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen ar
GGUF QuantizationYes
Quantization Typegguf|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128258
Torch Data Typefloat16

Best Alternatives to Maqa Llama 4bit

Best Alternatives
Context / RAM
Downloads
Likes
KernelLLM Unsloth Bnb 4bit128K / 6 GB52
Llama3 Ko 4bit8K / 5.8 GB50
SG Raccoon Yi 200K 2.0 AWQ195K / 30.2 GB60
Ko Pt Model Test18K / 16.4 GB20270
Llama SciQ 4bits8K / 5.8 GB50
Llama 3 Merged Linear8K / 5.8 GB710
Llama 3 Ko Luxia Instruct8K / 16.4 GB93
Note: green Score (e.g. "73.2") means that the model is better than AliAbdelrasheed/maqa_llama_4bit.

Rank the Maqa Llama 4bit 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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Release v20260328a