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LLaMA MoE V1 3 0B 2 16 by llama-moe

 »  All LLMs  »  llama-moe  »  LLaMA MoE V1 3 0B 2 16   URL Share it on

  336   
  Arxiv:2310.06694   Arxiv:2406.16554   Autotrain compatible   Custom code   En   Llama moe   Moe   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/llama-moe/LLaMA-MoE-v1-3_0B-2_16 

LLaMA MoE V1 3 0B 2 16 Benchmarks

LLME Score: 0.16079
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
LLaMA MoE V1 3 0B 2 16 (llama-moe/LLaMA-MoE-v1-3_0B-2_16)

LLaMA MoE V1 3 0B 2 16 Parameters and Internals

Model Type 
text-generation
Additional Notes 
Not fine-tuned by instruction pairs, may not act as a chatbot.
Supported Languages 
en (high)
Training Details 
Data Sources:
SlimPajama
Data Volume:
200B tokens
Methodology:
Continual Pre-training with Mixture-of-Experts
Model Architecture:
Partitioned original LLaMA FFNs into experts
Input Output 
Accepted Modalities:
text
LLM NameLLaMA MoE V1 3 0B 2 16
Repository 🤗https://huggingface.co/llama-moe/LLaMA-MoE-v1-3_0B-2_16 
Model Size0b
Required VRAM13.5 GB
Updated2025-02-22
Maintainerllama-moe
Model Typellama_moe
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureLlamaMoEForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Rank the LLaMA MoE V1 3 0B 2 16 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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