Unverified60% confidenceFactExact time
BERT-base has approximately 110 million parameters.
2
Sources
60%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Complete Guide to Training Small Models on Kaggle's Free Compute: GPU Quotas and Practical Tips
redditr/deeplearning7/9/2026
Related Claims
UnverifiedThe model has 125B parameters (125 billion parameters) and claims to support a maximum context of 1 million tokens.76% similarUnverified0.8B parameters is approximately equal to 800 million parameters.64% similarUnverifiedBERT was released in 2018 and has 340 million parameters.61% similarUnverifiedBased on the calculation that 53% of the quota corresponds to 62 million tokens, the full quota of the $20 plan corresponds to approximately 117 million tokens.58% similar
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