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Visual LaylelemonMaidRP 7B by Nitral-AI

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Visual LaylelemonMaidRP 7B is an open-source language model by Nitral-AI. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: other, Quantized, Merged, LLM Explorer Score: 0.14, Arc: 66.4, HellaSwag: 85.7, MMLU: 64.6, GSM8K: 62.3.

  Merged Model   Autotrain compatible Base model:nitral-ai/infinitel... Base model:nitral-ai/stanta-le...   Endpoints compatible   Gguf   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Visual-LaylelemonMaidRP-7B 

Visual LaylelemonMaidRP 7B Benchmarks

ARC: 66.38 vs 96.7 (so35)-31.4%
HellaSwag: 85.69 vs 95.3 (gpt4)-10.1%
MMLU: 64.58 vs 88.3 (so35)-26.9%
GSM8K: 62.32 vs 96.4 (so35)-35.4%
LLME Score: 0.13745
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Visual LaylelemonMaidRP 7B (Nitral-AI/Visual-LaylelemonMaidRP-7B)
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Visual LaylelemonMaidRP 7B Parameters and Internals

Model Type 
multimodal
Input Output 
Performance Tips:
To use multimodal capabilities, latest versions of Koboldcpp are needed, and the user must load the specified mmproj file from the model repo.
LLM NameVisual LaylelemonMaidRP 7B
Repository 🤗https://huggingface.co/Nitral-AI/Visual-LaylelemonMaidRP-7B 
Base Model(s)  Infinitely Laydiculous 7B   Stanta Lelemon Maid 7B   Nitral-AI/Infinitely-Laydiculous-7B   Nitral-AI/Stanta-Lelemon-Maid-7B
Merged ModelYes
Model Size7b
Required VRAM14.4 GB
Updated2025-02-03
MaintainerNitral-AI
Model Typemistral
Model Files  0.6 GB   2.0 GB: 1-of-8   1.9 GB: 2-of-8   2.0 GB: 3-of-8   1.9 GB: 4-of-8   2.0 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   0.8 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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Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Visual-LaylelemonMaidRP-7B.

Rank the Visual LaylelemonMaidRP 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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