Meta Llama 3 70B Instruct 8bit by mlx-community

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Meta Llama 3 70B Instruct 8bit Benchmarks

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 70B Instruct 8bit Parameters and Internals

LLM NameMeta Llama 3 70B Instruct 8bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/Meta-Llama-3-70B-Instruct-8bit 
Base Model(s)  Meta Llama 3 120B Instruct   mlabonne/Meta-Llama-3-120B-Instruct
Model Size70b
Required VRAM75 GB
Updated2024-09-16
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
Quantization Type8bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 70B Instruct 8bit (mlx-community/Meta-Llama-3-70B-Instruct-8bit)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Meta-Llama-3-70B-Instruct-8bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803