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Llama 3 SauerkrautLM 8B Instruct by VAGOsolutions

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Llama 3 SauerkrautLM 8B Instruct Benchmarks

MMLU Pro: 31.75
GPQA: 7.83
MUSR: 11.28
BBH: 28.05
IFEval: 74.45 vs 88 (so35)-15.4%
ARC: 73.72 vs 96.7 (so35)-23.8%
HellaSwag: 89.41 vs 95.3 (gpt4)-6.2%
MMLU: 68.07 vs 88.3 (so35)-22.9%
TruthfulQA: 66.25 vs 59 (gpt4)12.3%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 64.97 vs 96.4 (so35)-32.6%
MATH Lvl 5: 5.74
LLME Score: 0.38818
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 SauerkrautLM 8B Instruct Parameters and Internals

LLM NameLlama 3 SauerkrautLM 8B Instruct
Repository 🤗https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct 
Model Size8b
Required VRAM16.1 GB
Updated2024-09-16
MaintainerVAGOsolutions
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesde en
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 SauerkrautLM 8B Instruct (VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct)

Quantized Models of the Llama 3 SauerkrautLM 8B Instruct

Model
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VRAM
...3 SauerkrautLM 8B Instruct AWQ15355 GB
...uerkrautLM 8B 16K Instruct AWQ1145 GB
...uerkrautLM 8B 12K Instruct AWQ125 GB
... SauerkrautLM 8B Instruct EXL2065 GB

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... Instruct Gradient 1048K Agent1024K / 16.1 GB141
Note: green Score (e.g. "73.2") means that the model is better than VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct.

Rank the Llama 3 SauerkrautLM 8B Instruct 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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