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Stanta Lelemon Maid 7B by Nitral-AI

 »  All LLMs  »  Nitral-AI  »  Stanta Lelemon Maid 7B   URL Share it on

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  Merged Model   Autotrain compatible Base model:finetune:nitral-ai/... Base model:nitral-ai/kukulstan...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Stanta-Lelemon-Maid-7B 

Stanta Lelemon Maid 7B Benchmarks

ARC: 67.58 vs 96.7 (so35)-30.1%
HellaSwag: 86.03 vs 95.3 (gpt4)-9.7%
MMLU: 64.79 vs 88.3 (so35)-26.6%
TruthfulQA: 59.58 vs 59 (gpt4)1%
WinoGrande: 79.64 vs 87.5 (gpt4)-9%
GSM8K: 61.11 vs 96.4 (so35)-36.6%
LLME Score: 0.20008
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Stanta Lelemon Maid 7B (Nitral-AI/Stanta-Lelemon-Maid-7B)

Stanta Lelemon Maid 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model supports vision/multimodal capabilities if used with the latest versions of Koboldcpp and by loading the specified mmproj file.
LLM NameStanta Lelemon Maid 7B
Repository 🤗https://huggingface.co/Nitral-AI/Stanta-Lelemon-Maid-7B 
Base Model(s)  Nitral-AI/Lelemon-Maid-7B   KukulStanta 7B   Nitral-AI/Lelemon-Maid-7B   Nitral-AI/KukulStanta-7B
Merged ModelYes
Model Size7b
Required VRAM14.5 GB
Updated2024-12-27
MaintainerNitral-AI
Model Typemistral
Model Files  2.0 GB: 1-of-8   2.0 GB: 2-of-8   1.9 GB: 3-of-8   1.9 GB: 4-of-8   1.8 GB: 5-of-8   1.9 GB: 6-of-8   1.9 GB: 7-of-8   1.1 GB: 8-of-8
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/Stanta-Lelemon-Maid-7B.

Rank the Stanta Lelemon Maid 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241227
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