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Meta Llama 3.1 70B Instruct 8bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Meta-Llama-3.1-70B-Instruct-8bit 

Meta Llama 3.1 70B Instruct 8bit Benchmarks

LLME Score: 0.22558
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 70B Instruct 8bit (mlx-community/Meta-Llama-3.1-70B-Instruct-8bit)

Meta Llama 3.1 70B Instruct 8bit Parameters and Internals

LLM NameMeta Llama 3.1 70B Instruct 8bit
Repository 🤗https://huggingface.co/mlx-community/Meta-Llama-3.1-70B-Instruct-8bit 
Model Size70b
Required VRAM75 GB
Updated2024-12-26
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.2 GB: 1-of-15   5.2 GB: 2-of-15   5.4 GB: 3-of-15   5.1 GB: 4-of-15   5.2 GB: 5-of-15   5.2 GB: 6-of-15   5.4 GB: 7-of-15   5.1 GB: 8-of-15   5.2 GB: 9-of-15   5.2 GB: 10-of-15   5.4 GB: 11-of-15   5.1 GB: 12-of-15   5.2 GB: 13-of-15   5.2 GB: 14-of-15   1.9 GB: 15-of-15
Supported Languagesen de fr it pt hi es th
Quantization Type8bit
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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