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Meta Llama 3.1 8B Instruct 4bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-4bit 

Meta Llama 3.1 8B Instruct 4bit Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.31663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3.1 8B Instruct 4bit (mlx-community/Meta-Llama-3.1-8B-Instruct-4bit)

Meta Llama 3.1 8B Instruct 4bit Parameters and Internals

LLM NameMeta Llama 3.1 8B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Meta-Llama-3.1-8B-Instruct-4bit 
Model Size8b
Required VRAM4.5 GB
Updated2024-12-14
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  4.5 GB
Supported Languagesen de fr it pt hi es th
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Meta Llama 3.1 8B Instruct 4bit Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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