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Meta Llama 3.1 70B Instruct FP8 by neuralmagic

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Meta Llama 3.1 70B Instruct FP8 Benchmarks

LLME Score: 0.34634
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 FP8 Parameters and Internals

LLM NameMeta Llama 3.1 70B Instruct FP8
Repository 🤗https://huggingface.co/neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8 
Base Model(s)  meta-llama/Meta-Llama-3.1-70B-Instruct   meta-llama/Meta-Llama-3.1-70B-Instruct
Model Size70b
Required VRAM72.7 GB
Updated2024-09-16
Maintainerneuralmagic
Model Typellama
Instruction-BasedYes
Model Files  4.8 GB: 1-of-15   5.0 GB: 2-of-15   4.9 GB: 3-of-15   4.9 GB: 4-of-15   4.9 GB: 5-of-15   5.0 GB: 6-of-15   4.9 GB: 7-of-15   4.9 GB: 8-of-15   4.9 GB: 9-of-15   5.0 GB: 10-of-15   4.9 GB: 11-of-15   4.9 GB: 12-of-15   4.9 GB: 13-of-15   5.0 GB: 14-of-15   3.8 GB: 15-of-15
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3.1 70B Instruct FP8 (neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8)

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Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8.

Rank the Meta Llama 3.1 70B Instruct FP8 Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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