Gemma 3
Google DeepMind — Gemma
partial detail 18 method fields published
Evaluation
scaling 4B/12B/27B models from 32K to 128K sequences at the end of pre-training via RoPE rescaling (scaling factor 8; RoPE base frequency of global layers increased from 10k to 1M, local kept at 10k); perplexity across context lengths
How it was run
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partial detail 18 method fields published