Training

  1. Start of training
  2. Pre-training, 8KKimi K3not stated8KNTPtext and visionMTPallMTP layer
  3. Pre-training, 64KKimi K3not stated64KNTPtext and visionMTPall
  4. Cooldown, 256KKimi K3not stated256KNTPall
  5. Cooldown, 1MKimi K3not stated1MNTPall
  6. SFTKimi K3not statednot statedSFTnot statedMXFP4 experts
  7. Cold-start model
  8. RL: nine expertsKimi K3not stated1MRLKimi K2.5’s, near GRPOnot stated
  9. Nine experts
  10. Where the student starts: not stated
  11. Multi-teacher on-policy distillationKimi K3not statednot statedMOPD9 teachersnot stated
  12. Kimi K3
  • tokens, log scale
  • derived: computed from stated numbers
  • context length
  • all parameters train
  • a part trains
  • all but a part trains
  • NTPdashed: concluded, no source names it
  • not stated by the sources
  • the architecture changes
  • checkpoint
  • checkpoint, weights published
  • a join the sources leave unexplained

Start of training

×

Checkpoint

Language and vision are “jointly optimized from the start of training”; the vision encoder is trained “entirely from scratch”. The report names no earlier checkpoint the model starts from.

Weights
no pinned source shows them published
Sources2
Key
stage
tokens, log scale
a total no source states, computed from steps × batch × length
checkpoint
checkpoint, weights published
a join the sources leave unexplained
stages of a released model, folded into one row
derived
computed from reported values; the arithmetic is shown
not disclosed
no pinned source states it; nothing is filled in