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Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
Text prompt to send to the model.
|
|
| max_tokens |
integer
|
128
|
Maximum number of tokens to generate per output sequence.
|
| presence_penalty |
number
|
0
Min: -5 Max: 5 |
Float that penalizes new tokens based on whether they appear in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.
|
| frequency_penalty |
number
|
0
Min: -5 Max: 5 |
Float that penalizes new tokens based on their frequency in the generated text so far. Values > 0 encourage the model to use new tokens, while values < 0 encourage the model to repeat tokens.
|
| temperature |
number
|
0.8
Min: 0.01 Max: 5 |
Float that controls the randomness of the sampling. Lower values make the model more deterministic, while higher values make the model more random. Zero means greedy sampling.
|
| top_p |
number
|
0.95
Min: 0.01 Max: 1 |
Float that controls the cumulative probability of the top tokens to consider. Must be in (0, 1]. Set to 1 to consider all tokens.
|
| top_k |
integer
|
-1
|
Integer that controls the number of top tokens to consider. Set to -1 to consider all tokens.
|
| stop |
string
|
List of strings that stop the generation when they are generated. The returned output will not contain the stop strings.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'title': 'Output', 'type': 'string'}