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Meta Llama 3 8B Instruct FP8 by nerdylive

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Model Card on HF 🤗: https://huggingface.co/nerdylive/Meta-Llama-3-8B-Instruct-FP8 

Meta Llama 3 8B Instruct FP8 Benchmarks

LLME Score: 0.1788
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Meta Llama 3 8B Instruct FP8 Parameters and Internals

LLM NameMeta Llama 3 8B Instruct FP8
Repository 🤗https://huggingface.co/nerdylive/Meta-Llama-3-8B-Instruct-FP8 
Model Size8b
Required VRAM9.1 GB
Updated2025-06-11
Maintainernerdylive
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 8B Instruct FP8 (nerdylive/Meta-Llama-3-8B-Instruct-FP8)

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...otron 8B UltraLong 4M Instruct4192K / 32.1 GB3715108
UltraLong Thinking4192K / 16.1 GB8292
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB92315
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
Zero Llama 3.1 8B Beta61048K / 16.1 GB14161
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB207045
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
....1 1million Ctx Dark Planet 8B1048K / 32.3 GB952
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB133
Note: green Score (e.g. "73.2") means that the model is better than nerdylive/Meta-Llama-3-8B-Instruct-FP8.

Rank the Meta Llama 3 8B 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  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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Release v20241124
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