LunarAI by ThePegasusGroup

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LunarAI Benchmarks

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

LunarAI Parameters and Internals

LLM NameLunarAI
Repository 🤗https://huggingface.co/ThePegasusGroup/LunarAI 
Model Size15.7b
Required VRAM31.4 GB
Updated2025-09-10
MaintainerThePegasusGroup
Model Typedeepseek_v2
Model Files  16.7 GB   5.0 GB: 1-of-7   5.0 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   5.0 GB: 5-of-7   5.0 GB: 6-of-7   1.4 GB: 7-of-7
GGUF QuantizationYes
Quantization Typegguf
Model ArchitectureDeepseekV2ForCausalLM
Licenseapache-2.0
Context Length163840
Model Max Length163840
Transformers Version4.53.3
Tokenizer ClassLlamaTokenizerFast
Padding Token<|end▁of▁sentence|>
Vocabulary Size102400
Torch Data Typebfloat16

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...eepSeek Coder V2 Lite Instruct160K / 31.4 GB699719470
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Dsv2 Lite Coder Codeio Pp160K / 31.4 GB132
DeepSeek Coder V2 Lite Base160K / 31.4 GB370688
KwaiCoder DS V2 Lite Base160K / 31.4 GB114
...2 Lite Instruct FlashAttnPatch160K / 31.4 GB50
ESFT Vanilla Lite4K / 31.4 GB122318
Note: green Score (e.g. "73.2") means that the model is better than ThePegasusGroup/LunarAI.

Rank the LunarAI 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 v20241124