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ESFT Vanilla Lite by deepseek-ai

 »  All LLMs  »  deepseek-ai  »  ESFT Vanilla Lite   URL Share it on

  622   
  Arxiv:2407.01906   Autotrain compatible   Conversational   Custom code   Deepseek v2   Endpoints compatible   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/deepseek-ai/ESFT-vanilla-lite 

ESFT Vanilla Lite Benchmarks

LLME Score: 0.21623
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ESFT Vanilla Lite (deepseek-ai/ESFT-vanilla-lite)

ESFT Vanilla Lite Parameters and Internals

Model Type 
Expert-Specialized Fine-Tuning
Additional Notes 
To use this model and specialized expert sets, refer to the scripts at the specified GitHub repository. Customized models used in the research can be found on Hugging Face.
LLM NameESFT Vanilla Lite
Repository 🤗https://huggingface.co/deepseek-ai/ESFT-vanilla-lite 
Model Size15.7b
Required VRAM31.4 GB
Updated2025-02-22
Maintainerdeepseek-ai
Model Typedeepseek_v2
Model Files  8.6 GB: 1-of-4   8.6 GB: 2-of-4   8.6 GB: 3-of-4   5.6 GB: 4-of-4
Model ArchitectureDeepseekV2ForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.33.1
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than deepseek-ai/ESFT-vanilla-lite.

Rank the ESFT Vanilla Lite 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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