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Maqa Llama by AliAbdelrasheed

By AliAbdelrasheed · 10 downloads

Maqa Llama is an open-source language model by AliAbdelrasheed. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.13.

  Merged Model   4bit   Ar Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.1-8...   Conversational   En   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth

Maqa Llama Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This model was trained using the Unsloth tool, which aims to speed up the training process.
Supported Languages 
en ()
Training Details 
Methodology:
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameMaqa Llama
Repository πŸ€—https://huggingface.co/AliAbdelrasheed/maqa_llama 
Base Model(s)  maqa_merged   unsloth/Llama-3.1-8B-bnb-4bit   /maqa_merged   unsloth/Llama-3.1-8B-bnb-4bit
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2026-08-21
MaintainerAliAbdelrasheed
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen ar
Quantization Type4bit
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 Typebfloat16

Quantized Models of the Maqa Llama

Model
Likes
Downloads
VRAM
Maqa Llama 4bit GGUF0584 GB

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Context / RAM
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Llama 3 8B Instruct 1048K 4bit1024K / 4.5 GB52525
Llama 3 8B Instruct 1048K 8bit1024K / 8.6 GB21317
... Gradient 1048K 8.0bpw H8 EXL21024K / 8.6 GB23
...ct Gradient 1048K Bpw2.25 EXL21024K / 3.4 GB51
Llama 3 8B Instruct 262K 2bit256K / 2.5 GB111
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Note: green Score (e.g. "73.2") means that the model is better than AliAbdelrasheed/maqa_llama.