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tomasmcm/sam-7b:51387da5

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'}