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Multilingual Llama 3 8B AWQ 4bit by alijawad07

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  4-bit   4bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/alijawad07/multilingual-Llama-3-8B-AWQ-4bit 

Multilingual Llama 3 8B AWQ 4bit Benchmarks

LLME Score: 0.18358
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multilingual Llama 3 8B AWQ 4bit (alijawad07/multilingual-Llama-3-8B-AWQ-4bit)

Multilingual Llama 3 8B AWQ 4bit Parameters and Internals

LLM NameMultilingual Llama 3 8B AWQ 4bit
Repository 🤗https://huggingface.co/alijawad07/multilingual-Llama-3-8B-AWQ-4bit 
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
Maintaineralijawad07
Model Typellama
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than alijawad07/multilingual-Llama-3-8B-AWQ-4bit.

Rank the Multilingual Llama 3 8B AWQ 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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