implementation detail · filed under inference & serving
Presence Penalty
Adjust the presence_penalty parameter, within the supported range, to reduce repetitive generation.
Also called Presence penalty adjustment, Presence-penalty tuning.
- sources
- 4
- models
- 2
- lab adopt it
- 1
- strongest
- used
How sources treat it
One count per evidence span, weakest treatment to strongest.
Documented in
Evidence
5 spans quoted from the sources, strongest treatment first.
For supported frameworks, you can adjust the presence_penaltyparameter between 0 and 2 to reduce endless repetitions.
you can adjust the presence_penaltyparameter between 0 and 2 to reduce endless repetions.
For supported frameworks, you can adjust the presence_penalty parameter between 0 and 2 to reduce endless repetitions.
you can adjust the presence_penaltyparameter between 0 and 2 to reduce endless repetitions.
For supported frameworks, you can adjust the presence_penaltyparameter between 0 and 2 to reduce endless repetitions.
Filed alongside
Other methods under inference & serving :: decoding strategy.