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Maqa Llama 4bit by AliAbdelrasheed

By AliAbdelrasheed · 9 downloads

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: 0.13.

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

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 πŸ€—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
Updated2026-08-25
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

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Note: green Score (e.g. "73.2") means that the model is better than AliAbdelrasheed/maqa_llama_4bit.