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Silicon Maid 7B by SanjiWatsuki

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Silicon Maid 7B Benchmarks

MMLU Pro: 23.15
GPQA: 5.37
MUSR: 11.09
BBH: 16.69
IFEval: 53.68 vs 88 (so35)-39%
ARC: 68.17 vs 96.7 (so35)-29.5%
HellaSwag: 86.52 vs 95.3 (gpt4)-9.2%
MMLU: 64.58 vs 88.3 (so35)-26.9%
TruthfulQA: 61.64 vs 59 (gpt4)4.5%
WinoGrande: 79.01 vs 87.5 (gpt4)-9.7%
GSM8K: 61.94 vs 96.4 (so35)-35.7%
MATH Lvl 5: 5.97
LLME Score: 0.29681
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Silicon Maid 7B Parameters and Internals

LLM NameSilicon Maid 7B
Repository 🤗https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B 
Model Size7b
Required VRAM14.5 GB
Updated2024-09-16
MaintainerSanjiWatsuki
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-4.0
Context Length8192
Model Max Length8192
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Silicon Maid 7B (SanjiWatsuki/Silicon-Maid-7B)

Quantized Models of the Silicon Maid 7B

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Silicon Natsuki 7B V0.5 Gguf067 GB
Silicon Monika 7B Gguf4184 GB

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Rank the Silicon Maid 7B 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  
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Multi-Language Support and Translation  

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Release v2024072803
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