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LunarAI by ThePegasusGroup

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LunarAI is an open-source language model by ThePegasusGroup. Features: 15.7b LLM, VRAM: 31.4GB, Context: 160K, License: apache-2.0, Quantized, LLM Explorer Score: 0.21.

  Code-generation   Conversational   Custom code   Dataset:custom spigot dataset   Deepseek-coder   Deepseek v2   Endpoints compatible   Finetuned   Gguf   Instruct   Minecraft   Ollama   Quantized   Region:us   Safetensors   Sharded   Spigot   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ThePegasusGroup/LunarAI 

LunarAI Benchmarks

LLME Score: 0.20709
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LunarAI (ThePegasusGroup/LunarAI)
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LunarAI Parameters and Internals

LLM NameLunarAI
Repository 🤗https://huggingface.co/ThePegasusGroup/LunarAI 
Model Size15.7b
Required VRAM31.4 GB
Updated2026-01-19
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

Best Alternatives to LunarAI

Best Alternatives
Context / RAM
Downloads
Likes
...eepSeek Coder V2 Lite Instruct160K / 31.4 GB367294572
DeepSeek V2 Lite160K / 31.4 GB246467168
DeepSeek V2 Lite Chat160K / 31.4 GB811609135
...e Sft Math7k 1epoch 1e 4 Gamma160K / 31.4 GB80
KwaiCoder DS V2 Lite Base160K / 31.4 GB12587
Dsv2 Lite Coder Codeio Pp160K / 31.4 GB112
DeepSeek Coder V2 Lite Base160K / 31.4 GB2312105
...eek Coder V2 Lite Instruct AWQ160K / 9.1 GB34589
...eepSeek Coder V2 Lite Base AWQ160K / 9.1 GB234
...2 Lite Instruct FlashAttnPatch160K / 31.4 GB60
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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