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Maqa Llama 4bit by AliAbdelrasheed

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Model Card on HF 🤗: https://huggingface.co/AliAbdelrasheed/maqa_llama_4bit 

Maqa Llama 4bit Benchmarks

LLME Score: 0.19704
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 (AliAbdelrasheed/maqa_llama_4bit)

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 Size4.7b
Required VRAM5.8 GB
Updated2025-02-01
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.

Rank the Maqa Llama 4bit Capabilities

🆘 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! 🌟

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
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