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Chinchilla

25 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Chinchilla is a 70B parameters model trained as a compute-optimal model with 1.4 trillion tokens. Findings suggest that these types of models are trained optimally by equally scaling both model size and training tokens. It uses the same compute budget as Gopher but with 4x more training data. Chinchilla and Gopher are trained for the same number of FLOPs. It is trained using MassiveText using a slightly modified SentencePiece tokenizer. More architectural details in the paper.

Source: Training Compute-Optimal Large Language Models

Papers archive 2025-07-28

25 shown of 25, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 106 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modelling8
Language Modeling5
Large Language Model4
Question Answering4
MMLU3
Multi-task Language Understanding3
model3
Anachronisms2
Common Sense Reasoning2
Decoder2
Mathematical Reasoning2
Multiple Choice Question Answering (MCQA)2
Sentence Completion2
Word Sense Disambiguation2
Abstractive Text Summarization1
Analogical Similarity1
Analytic Entailment1
Bayesian Optimization1
Bias Detection1
Causal Judgment1

Usage over time archive 2025-07-28

Papers per year tagged with Chinchilla: 2022 to 2025, peak 10 10 0 2022: 3 papers 2022 2023: 7 papers 2023 2024: 10 papers 2024 2025: 5 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (25 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Language Models

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