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Nyanade Stunna Maid 7B by Nitral-AI

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  Merged Model   Autotrain compatible Base model:nitral-ai/nyan-stun... Base model:quantized:nitral-ai...   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Nyanade Stunna Maid 7B Benchmarks

ARC: 66.13 vs 96.7 (so35)-31.6%
HellaSwag: 85.25 vs 95.3 (gpt4)-10.5%
MMLU: 64.44 vs 88.3 (so35)-27%
TruthfulQA: 59.11 vs 59 (gpt4)0.2%
WinoGrande: 78.14 vs 87.5 (gpt4)-10.7%
GSM8K: 51.55 vs 96.4 (so35)-46.5%
LLME Score: 0.23032
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Nyanade Stunna Maid 7B Parameters and Internals

LLM NameNyanade Stunna Maid 7B
Repository 🤗https://huggingface.co/Nitral-AI/Nyanade_Stunna-Maid-7B 
Base Model(s)  Nitral-AI/Nyanade-Maid-7B   Nyan Stunna 7B   Nitral-AI/Nyanade-Maid-7B   Nitral-AI/Nyan-Stunna-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2024-09-07
MaintainerNitral-AI
Model Typemistral
Model Files  0.6 GB   2.0 GB: 1-of-8   1.9 GB: 2-of-8   1.9 GB: 3-of-8   2.0 GB: 4-of-8   1.9 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.9 GB: 8-of-8
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureMistralForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Nyanade Stunna Maid 7B (Nitral-AI/Nyanade_Stunna-Maid-7B)

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Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Nyanade_Stunna-Maid-7B.

Rank the Nyanade Stunna 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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