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Meta Llama 3.1 70B by meta-llama

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Meta Llama 3.1 70B Benchmarks

MMLU Pro: 40.6
GPQA: 18.34
MUSR: 16.58
BBH: 46.4
IFEval: 16.84 vs 88 (so35)-80.9%
MATH Lvl 5: 16.69
LLME Score: 0.49966
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 Parameters and Internals

LLM NameMeta Llama 3.1 70B
Repository 🤗https://huggingface.co/meta-llama/Meta-Llama-3.1-70B 
Model Size70b
Required VRAM141.9 GB
Updated2024-09-16
Maintainermeta-llama
Model Typellama
Model Files  4.6 GB: 1-of-30   4.7 GB: 2-of-30   5.0 GB: 3-of-30   5.0 GB: 4-of-30   4.7 GB: 5-of-30   4.7 GB: 6-of-30   4.7 GB: 7-of-30   5.0 GB: 8-of-30   5.0 GB: 9-of-30   4.7 GB: 10-of-30   4.7 GB: 11-of-30   4.7 GB: 12-of-30   5.0 GB: 13-of-30   5.0 GB: 14-of-30   4.7 GB: 15-of-30   4.7 GB: 16-of-30   4.7 GB: 17-of-30   5.0 GB: 18-of-30   5.0 GB: 19-of-30   4.7 GB: 20-of-30   4.7 GB: 21-of-30   4.7 GB: 22-of-30   5.0 GB: 23-of-30   5.0 GB: 24-of-30   4.7 GB: 25-of-30   4.7 GB: 26-of-30   4.7 GB: 27-of-30   5.0 GB: 28-of-30   5.0 GB: 29-of-30   2.1 GB: 30-of-30
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3.1 70B (meta-llama/Meta-Llama-3.1-70B)

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Note: green Score (e.g. "73.2") means that the model is better than meta-llama/Meta-Llama-3.1-70B.

Rank the Meta Llama 3.1 70B Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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