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Digital Socrates 7B by allenai

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  700   
  Arxiv:2311.09613   Autotrain compatible   En   Endpoints compatible   Llama   Model-index   Pytorch   Region:us   Sharded

Digital Socrates 7B Benchmarks

ARC: 54.44 vs 96.7 (so35)-43.7%
HellaSwag: 75.99 vs 95.3 (gpt4)-20.3%
MMLU: 51.41 vs 88.3 (so35)-41.8%
TruthfulQA: 44.88 vs 59 (gpt4)-23.9%
WinoGrande: 73.09 vs 87.5 (gpt4)-16.5%
GSM8K: 17.89 vs 96.4 (so35)-81.4%
LLME Score: 0.21586
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Digital Socrates 7B Parameters and Internals

LLM NameDigital Socrates 7B
Repository 🤗https://huggingface.co/allenai/digital-socrates-7b 
Model Size7b
Required VRAM27 GB
Updated2024-09-08
Maintainerallenai
Model Typellama
Model Files  9.9 GB: 1-of-3   9.9 GB: 2-of-3   7.2 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32001
Torch Data Typefloat32
Digital Socrates 7B (allenai/digital-socrates-7b)

Quantized Models of the Digital Socrates 7B

Model
Likes
Downloads
VRAM
Digital Socrates 7B GGUF1712 GB

Best Alternatives to Digital Socrates 7B

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LLaMA 7B PoSE YaRN 128K128K / 13.5 GB173
LLaMA 7B PoSE Linear 96K96K / 27 GB62
LLaMA 7B PoSE YaRN 96K96K / 13.5 GB71
Chat Llama2 7B 80K80K / 13.8 GB60
Llama2 7B 80K80K / 13.8 GB70
Lloma Step40064K / 13.5 GB570
Lloma Step20064K / 13.5 GB620
Lloma Step5064K / 13.5 GB570
Note: green Score (e.g. "73.2") means that the model is better than allenai/digital-socrates-7b.

Rank the Digital Socrates 7B 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 v2024072803
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