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Poppy Porpoise 0.72 L3 8B by Nitral-AI

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Poppy Porpoise 0.72 L3 8B is an open-source language model by Nitral-AI. Features: 8b LLM, VRAM: 16GB, Context: 8K, License: other, LLM Explorer Score: 0.14, Arc: 63.8, HellaSwag: 82, MMLU: 67.9, GSM8K: 65.1.

  Conversational   Endpoints compatible   Llama   Merge   Mergekit   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.72-L3-8B 

Poppy Porpoise 0.72 L3 8B Benchmarks

ARC: 63.82 vs 96.7 (so35)-34%
HellaSwag: 82.02 vs 95.3 (gpt4)-13.9%
MMLU: 67.89 vs 88.3 (so35)-23.1%
GSM8K: 65.05 vs 96.4 (so35)-32.5%
LLME Score: 0.14367
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Poppy Porpoise 0.72 L3 8B (Nitral-AI/Poppy_Porpoise-0.72-L3-8B)
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Poppy Porpoise 0.72 L3 8B Parameters and Internals

Model Type 
multimodal, text generation
Use Cases 
Primary Use Cases:
AI roleplay assistant
Input Output 
Accepted Modalities:
vision
LLM NamePoppy Porpoise 0.72 L3 8B
Repository 🤗https://huggingface.co/Nitral-AI/Poppy_Porpoise-0.72-L3-8B 
Base Model(s)  Nitral-AI/PP_0.71b   Nitral-AI/PP_0.71a   Nitral-AI/PP_0.71b   Nitral-AI/PP_0.71a
Model Size8b
Required VRAM16 GB
Updated2026-05-15
MaintainerNitral-AI
Model Typellama
Model Files  1.9 GB: 1-of-9   2.0 GB: 2-of-9   1.9 GB: 3-of-9   1.1 GB: 4-of-9   1.9 GB: 5-of-9   2.0 GB: 6-of-9   2.0 GB: 7-of-9   1.9 GB: 8-of-9   1.3 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Nitral-AI/Poppy_Porpoise-0.72-L3-8B.

Rank the Poppy Porpoise 0.72 L3 8B 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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