Luminis Phi 4 by suayptalha

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  Merged Model   Autotrain compatible Base model:bunnycore/phi-4-mod... Base model:bunnycore/phi-4-rr-...   Conversational   En   Endpoints compatible   Llama   Model-index   Phi-4   Region:us   Safetensors   Sharded   Tensorflow

Luminis Phi 4 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Luminis Phi 4 (suayptalha/Luminis-phi-4)

Luminis Phi 4 Parameters and Internals

LLM NameLuminis Phi 4
Repository ๐Ÿค—https://huggingface.co/suayptalha/Luminis-phi-4 
Base Model(s)  Phi 4 RR Shoup   Phi 4 Model Stock V4   bunnycore/Phi-4-RR-Shoup   bunnycore/Phi-4-Model-Stock-v4
Merged ModelYes
Model Size14.7b
Required VRAM29.5 GB
Updated2025-02-22
Maintainersuayptalha
Model Typellama
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   4.9 GB: 4-of-6   5.0 GB: 5-of-6   4.6 GB: 6-of-6
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length16384
Model Max Length16384
Transformers Version4.47.1
Tokenizer ClassGPT2Tokenizer
Padding Token<|dummy_87|>
Vocabulary Size100352
Torch Data Typebfloat16

Best Alternatives to Luminis Phi 4

Best Alternatives
Context / RAM
Downloads
Likes
Phi 416K / 29.4 GB2146573
Phi 4 Model Stock V416K / 29.5 GB5287
Orca Mini Phi 416K / 29.4 GB5438
Phi 4 RR Shoup16K / 29.5 GB2021
Phi 4 Sce Exp V0.116K / 29.5 GB381
Phi 4 Model Stock16K / 29.5 GB1416
Phi 4 RStock V0.116K / 29.5 GB590
Flashlight V1.016K / 29.4 GB1441
Phi 4 Tensopolis V116K / 29.4 GB310
Phi 4 O116K / 29.4 GB32027
Note: green Score (e.g. "73.2") means that the model is better than suayptalha/Luminis-phi-4.

Rank the Luminis Phi 4 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227