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Meta Llama 3 8B FP8 Compressed Tensors Test by nm-testing

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Meta Llama 3 8B FP8 Compressed Tensors Test is an open-source language model by nm-testing. Features: 8b LLM, VRAM: 9.1GB, Context: 8K, LLM Explorer Score: 0.17.

  Compressed-tensors   Conversational   Deploy:azure   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test 

Meta Llama 3 8B FP8 Compressed Tensors Test Benchmarks

LLME Score: 0.17477
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 8B FP8 Compressed Tensors Test (nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test)
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Meta Llama 3 8B FP8 Compressed Tensors Test Parameters and Internals

LLM NameMeta Llama 3 8B FP8 Compressed Tensors Test
Repository 🤗https://huggingface.co/nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test 
Model Size8b
Required VRAM9.1 GB
Updated2026-04-27
Maintainernm-testing
Model Typellama
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nm-testing/Meta-Llama-3-8B-FP8-compressed-tensors-test.

Rank the Meta Llama 3 8B FP8 Compressed Tensors Test 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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