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OrthoPoppy by jeiku

 »  All LLMs  »  jeiku  »  OrthoPoppy   URL Share it on

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  Merged Model   Autotrain compatible Base model:edgerunners/meta-ll... Base model:nitral-ai/poppy por...   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/jeiku/OrthoPoppy 

OrthoPoppy Benchmarks

LLME Score: 0.18493
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
OrthoPoppy (jeiku/OrthoPoppy)

OrthoPoppy Parameters and Internals

Additional Notes 
This model is a merge of two base models using the SLERP method.
Training Details 
Model Architecture:
merge
LLM NameOrthoPoppy
Repository 🤗https://huggingface.co/jeiku/OrthoPoppy 
Base Model(s)  Nitral-AI/Poppy_Porpoise-0.72-L3-8B   ...ho Baukit 5fail 3000total Bf16   Nitral-AI/Poppy_Porpoise-0.72-L3-8B   Edgerunners/meta-llama-3-8b-instruct-hf-ortho-baukit-5fail-3000total-bf16
Merged ModelYes
Model Size8b
Required VRAM16 GB
Updated2025-02-22
Maintainerjeiku
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-2   6.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 jeiku/OrthoPoppy.

Rank the OrthoPoppy 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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