Model techniques map
Techniquespost-trainingmid-training & continual pretraining

specific method · filed under post-training

Continual pretraining for long-context extension

Continual pretraining used to extend a model's context length, including staged context-length increases.

Also called long-context extension, long-context training.

sources
3
models
3
labs adopt it
2
strongest
used

How sources treat it

One count per evidence span, weakest treatment to strongest.

used 3

Documented in

Evidence

3 spans quoted from the sources, strongest treatment first.

The first sub-stage extends the context to 32K tokens; the second extends it to 128K tokens.

usedtraining objectivein Laguna XS.2Poolside

added a long-context phase (LC-Phase) at the end of pretraining

usedpost trainingin Nemotron 3 UltraNVIDIA

we included a continued pre-training (CPT) stage at a 512k sequence length

usedotherin Nemotron 3 NanoNVIDIA

Filed alongside

Other methods under post-training :: mid-training & continual pretraining.