Maqa Llama by AliAbdelrasheed

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Maqa Llama 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 (AliAbdelrasheed/maqa_llama)

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 ๐Ÿค—https://huggingface.co/AliAbdelrasheed/maqa_llama 
Base Model(s)  maqa_merged   /maqa_merged
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
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
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 GGUF0354 GB

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

Rank the Maqa Llama Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227