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Meta Llama 3.1 70B Instruct 4bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3.1-70B-Instruct-4bit 

Meta Llama 3.1 70B Instruct 4bit Benchmarks

LLME Score: 0.24943
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Meta Llama 3.1 70B Instruct 4bit Parameters and Internals

LLM NameMeta Llama 3.1 70B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Meta-Llama-3.1-70B-Instruct-4bit 
Model Size70b
Required VRAM39.7 GB
Updated2024-12-02
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   2.6 GB: 8-of-8
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
Meta Llama 3.1 70B Instruct 4bit (mlx-community/Meta-Llama-3.1-70B-Instruct-4bit)

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Rank the Meta Llama 3.1 70B Instruct 4bit Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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