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Llama3 70B SVA FT 500 by KSU-HW-SEC

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Model Card on HF 🤗: https://huggingface.co/KSU-HW-SEC/Llama3-70b-SVA-FT-500 

Llama3 70B SVA FT 500 Benchmarks

MMLU Pro: 46.97
GPQA: 17.45
MUSR: 16.99
BBH: 51.89
IFEval: 61.05 vs 88 (so35)-30.6%
MATH Lvl 5: 21.37
LLME Score: 0.32585
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 70B SVA FT 500 (KSU-HW-SEC/Llama3-70b-SVA-FT-500)

Llama3 70B SVA FT 500 Parameters and Internals

LLM NameLlama3 70B SVA FT 500
Repository 🤗https://huggingface.co/KSU-HW-SEC/Llama3-70b-SVA-FT-500 
Model Size70b
Required VRAM141.9 GB
Updated2024-09-19
MaintainerKSU-HW-SEC
Model Typellama
Instruction-BasedYes
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
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.44.2
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 KSU-HW-SEC/Llama3-70b-SVA-FT-500.

Rank the Llama3 70B SVA FT 500 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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Release v20241227
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