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Lumina 3.5 by Ppoyaa

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Model Card on HF 🤗: https://huggingface.co/Ppoyaa/Lumina-3.5 

Lumina 3.5 Benchmarks

ARC: 71.59 vs 96.7 (so35)-26%
HellaSwag: 88.82 vs 95.3 (gpt4)-6.8%
MMLU: 64.48 vs 88.3 (so35)-27%
TruthfulQA: 75.66 vs 59 (gpt4)28.2%
WinoGrande: 83.98 vs 87.5 (gpt4)-4%
GSM8K: 67.93 vs 96.4 (so35)-29.5%
LLME Score: 0.21311
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Lumina 3.5 Parameters and Internals

Model Type 
text-generation
Training Details 
Context Length:
32000
Model Architecture:
Mixture of Experts (MoE)
LLM NameLumina 3.5
Repository 🤗https://huggingface.co/Ppoyaa/Lumina-3.5 
Model Size18.5b
Required VRAM37.1 GB
Updated2025-03-14
MaintainerPpoyaa
Model Typemixtral
Model Files  1.9 GB: 1-of-19   2.0 GB: 2-of-19   2.0 GB: 3-of-19   2.0 GB: 4-of-19   2.0 GB: 5-of-19   2.0 GB: 6-of-19   2.0 GB: 7-of-19   2.0 GB: 8-of-19   2.0 GB: 9-of-19   2.0 GB: 10-of-19   2.0 GB: 11-of-19   2.0 GB: 12-of-19   2.0 GB: 13-of-19   2.0 GB: 14-of-19   2.0 GB: 15-of-19   2.0 GB: 16-of-19   2.0 GB: 17-of-19   2.0 GB: 18-of-19   1.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Rank the Lumina 3.5 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  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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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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