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SOTA
Sprachmodellierung
Language Modelling On The Pile
Language Modelling On The Pile
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Bits per byte
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Bits per byte
Paper Title
GPT-2 Small 124M (pre-trained)
1.2253
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
GPT-2 Medium 355M (pre-trained)
1.0928
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
GPT-2 Large 774M (pre-trained)
1.0828
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
GPT-2 XL 1.5B (pre-trained)
1.0468
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
GPT-3 Ada 350M (pre-trained)
0.9631
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
GPT-3 Babbage 1.3B (pre-trained)
0.8718
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Test-Time Fine-Tuning with SIFT + GPT-2 (124M)
0.862
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
GPT-2 Large 774M (test-time training on nearest neighbors)
0.85
Test-Time Training on Nearest Neighbors for Large Language Models
Llama-3.2-Instruct 1B
0.807
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
GPT-3 Curie 6.7B (pre-trained)
0.7980
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Test-Time Fine-Tuning with SIFT + GPT-2 (774M)
0.762
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
GPT-3
0.742
GLM-130B: An Open Bilingual Pre-trained Model
Llama-3.2-Instruct 3B
0.737
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Gemma-2 2B
0.721
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
GPT-3 Davinci 175B (pre-trained)
0.7177
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Llama-3.2 1B
0.697
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Phi-3 3.8B
0.679
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Phi-3 7B
0.678
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Gemma-2 9B
0.670
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
Phi-3 14B
0.651
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
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Language Modelling On The Pile | SOTA | HyperAI