Nyanade Stunna Maid 7B by Nitral-AI

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Nyanade Stunna Maid 7B is an open-source language model by Nitral-AI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: other, Quantized, Merged, HF Score: 67.4, LLM Explorer Score: 0.14, Arc: 66.1, HellaSwag: 85.3, MMLU: 64.4, TruthfulQA: 59.1, WinoGrande: 78.1, GSM8K: 51.6.

  Merged Model Base model:chaoticneutrals/nya... Base model:quantized:chaoticne...   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Nyanade Stunna Maid 7B Benchmarks

Nyanade Stunna Maid 7B Parameters and Internals

Model Type 
multimodal
Additional Notes 
Quants thanks to Lewdiculus: [Nyanade_Stunna-Maid-7B-GGUF-IQ-Imatrix](https://huggingface.co/Lewdiculous/Nyanade_Stunna-Maid-7B-GGUF-IQ-Imatrix)
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
Updated2025-12-07
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

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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 v20260328a