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ADELIE SFT by THU-KEG

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  Arxiv:2405.05008   Autotrain compatible   Dataset:ace05   Dataset:conll2003   Dataset:conll2012 ontonotesv5   Dataset:fewrel   Dataset:maven   Dataset:rams   Dataset:tacred   En   Endpoints compatible   Event extraction   Ie   Information extraction   Llama   Named entity recogniton   Pytorch   Region:us   Relation extraction   Sharded
Model Card on HF 🤗: https://huggingface.co/THU-KEG/ADELIE-SFT 

ADELIE SFT Benchmarks

ARC: 54.1 vs 96.7 (so35)-44.1%
HellaSwag: 78.22 vs 95.3 (gpt4)-17.9%
MMLU: 47.67 vs 88.3 (so35)-46%
TruthfulQA: 42.75 vs 59 (gpt4)-27.5%
WinoGrande: 74.11 vs 87.5 (gpt4)-15.3%
GSM8K: 19.64 vs 96.4 (so35)-79.6%
LLME Score: 0.21397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ADELIE SFT (THU-KEG/ADELIE-SFT)

ADELIE SFT Parameters and Internals

Model Type 
Text Generation
Supported Languages 
en (English)
LLM NameADELIE SFT
Repository 🤗https://huggingface.co/THU-KEG/ADELIE-SFT 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-22
MaintainerTHU-KEG
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length2048
Model Max Length2048
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<pad>
Vocabulary Size32001
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than THU-KEG/ADELIE-SFT.

Rank the ADELIE SFT 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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Release v20241227
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