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Meta Llama 3.1 70B Instruct FP8 by neuralmagic

 »  All LLMs  »  neuralmagic  »  Meta Llama 3.1 70B Instruct FP8   URL Share it on

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  Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Compressed-tensors   Conversational   De   En   Endpoints compatible   Es   Fp8   Fr   Hi   Instruct   It   Llama   Pt   Region:us   Safetensors   Sharded   Tensorflow   Th   Vllm
Model Card on HF 🤗: https://huggingface.co/neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8 

Meta Llama 3.1 70B Instruct FP8 Benchmarks

LLME Score: 0.29615
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 (neuralmagic/Meta-Llama-3.1-70B-Instruct-FP8)

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
Updated2025-02-09
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 de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensemeta
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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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  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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