- 1.38.0 (latest)
- 1.37.0
- 1.36.0
- 1.35.0
- 1.34.1
- 1.33.0
- 1.32.1
- 1.31.1
- 1.30.1
- 1.29.0
- 1.28.0
- 1.27.0
- 1.26.0
- 1.25.0
- 1.24.0
- 1.23.1
- 1.22.0
- 1.21.0
- 1.20.1
- 1.19.0
- 1.18.0
- 1.17.1
- 1.16.0
- 1.15.0
- 1.14.1
- 1.13.5
- 1.12.1
- 1.11.0
- 1.10.0
- 1.9.1
- 1.8.0
- 1.7.0
- 1.6.0
- 1.5.0
- 1.4.0
- 1.3.2
- 1.2.0
- 1.1.1
- 1.0.0
- 0.8.2
- 0.7.1
- 0.6.0
- 0.5.0
- 0.4.1
- 0.3.0
- 0.2.0
- 0.1.1
ModelParameter(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Parameters to be passed to the LLM. If not set, default values will be used.
.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields
Attributes |
|
---|---|
Name | Description |
temperature |
float
The temperature used for sampling. Temperature sampling occurs after both topP and topK have been applied. Valid range: [0.0, 1.0] Low temperature = less random. High temperature = more random. This field is a member of oneof _ _temperature .
|
max_decode_steps |
int
The maximum number of tokens to generate. This field is a member of oneof _ _max_decode_steps .
|
top_p |
float
If set, only the tokens comprising the top top_p probability mass are considered. If both top_p and top_k are set, top_p will be used for further refining candidates selected with top_k. Valid range: (0.0, 1.0]. Small topP = less random. Large topP = more random. This field is a member of oneof _ _top_p .
|
top_k |
int
If set, the sampling process in each step is limited to the top_k tokens with highest probabilities. Valid range: [1, 40] or 1000+. Small topK = less random. Large topK = more random. This field is a member of oneof _ _top_k .
|