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Silicon Maid 7B by SanjiWatsuki

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Model Card on HF 🤗: https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B 

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: 6.5
LLME Score: 0.24352
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 (SanjiWatsuki/Silicon-Maid-7B)

Silicon Maid 7B Parameters and Internals

LLM NameSilicon Maid 7B
Repository 🤗https://huggingface.co/SanjiWatsuki/Silicon-Maid-7B 
Model Size7b
Required VRAM14.5 GB
Updated2025-01-29
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

Quantized Models of the Silicon Maid 7B

Model
Likes
Downloads
VRAM
Silicon Natsuki 7B V0.5 Gguf097 GB
Silicon Monika 7B Gguf4594 GB

Best Alternatives to Silicon Maid 7B

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MegaBeam Mistral 7B 512K512K / 14.4 GB365350
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...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB321016
Hebrew Mistral 7B 200K256K / 30 GB3053315
Astral 256K 7B V2250K / 14.4 GB90
Astral 256K 7B250K / 14.4 GB60
Note: green Score (e.g. "73.2") means that the model is better than SanjiWatsuki/Silicon-Maid-7B.

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  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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