LLaMA MoE V1 3 5B 4 16 Sft by llama-moe

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  Arxiv:2406.16554   Autotrain compatible   Custom code   En   Llama moe   Moe   Region:us   Safetensors   Sharded   Tensorflow

LLaMA MoE V1 3 5B 4 16 Sft Benchmarks

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 5B 4 16 Sft (llama-moe/LLaMA-MoE-v1-3_5B-4_16-sft)

LLaMA MoE V1 3 5B 4 16 Sft Parameters and Internals

Model Type 
text generation
Supported Languages 
en (proficient)
Training Details 
Data Sources:
Deita-6k
Methodology:
Supervised fine-tuning
Model Architecture:
Mixture-of-Experts (MoE)
Input Output 
Input Format:
text input
Accepted Modalities:
text
Output Format:
text output
LLM NameLLaMA MoE V1 3 5B 4 16 Sft
Repository ๐Ÿค—https://huggingface.co/llama-moe/LLaMA-MoE-v1-3_5B-4_16-sft 
Model Size6.7b
Required VRAM13.5 GB
Updated2025-02-22
Maintainerllama-moe
Model Typellama_moe
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaMoEForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than llama-moe/LLaMA-MoE-v1-3_5B-4_16-sft.

Rank the LLaMA MoE V1 3 5B 4 16 Sft 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