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Lumina 5.5 Instruct by Ppoyaa

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  Autotrain compatible Base model:finetune:ppoyaa/lum... Base model:ppoyaa/lumina-5-ins...   Conversational   Endpoints compatible   Instruct   Mixtral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Ppoyaa/Lumina-5.5-Instruct 

Lumina 5.5 Instruct Benchmarks

ARC: 68.77 vs 96.7 (so35)-28.9%
HellaSwag: 86.45 vs 95.3 (gpt4)-9.3%
MMLU: 64.26 vs 88.3 (so35)-27.2%
TruthfulQA: 69.33 vs 59 (gpt4)17.5%
WinoGrande: 82.24 vs 87.5 (gpt4)-6%
GSM8K: 52.92 vs 96.4 (so35)-45.1%
LLME Score: 0.1831
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lumina 5.5 Instruct (Ppoyaa/Lumina-5.5-Instruct)

Lumina 5.5 Instruct Parameters and Internals

Model Type 
Mixture of Experts
Training Details 
Context Length:
32000
LLM NameLumina 5.5 Instruct
Repository 🤗https://huggingface.co/Ppoyaa/Lumina-5.5-Instruct 
Base Model(s)  Ppoyaa/Lumina-5-Instruct   Ppoyaa/Lumina-5-Instruct
Model Size32.2b
Required VRAM64.5 GB
Updated2025-04-09
MaintainerPpoyaa
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-7   10.0 GB: 2-of-7   10.0 GB: 3-of-7   10.0 GB: 4-of-7   10.0 GB: 5-of-7   10.0 GB: 6-of-7   4.6 GB: 7-of-7
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Rank the Lumina 5.5 Instruct 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
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