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neuralwork /mistral-stylist:4df3adf3
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
|
Prompt to send to the model.
|
|
event |
string
(enum)
|
Options: New Year's Eve party, Christmas dinner, valentine's day date, father's day barbecue, mother's day lunch, zoo outing, yoga retreat, work / office event, wine tasting event, wedding as a guest, tropical vacation, theme park, lunch, Thanksgiving gathering, tech conference, symposium, sporting event, startup pitch event, science fair, school event, ski vacations, religious ceremony, potluck dinner, pool party, play, picnic, photography excursion, night club, national parks, music festival, museum visit, meditation workshop, job interview, historical tour, halloween party, graduation, grad school orientation, golf trip, gala, funeral, fitness bootcamp, film premiere, fashion show, fancy date, family gathering, Easter brunch, documentary screening, cruise, cooking workshop, concert, cocktail party, classical concert, charity run, casual date, business meeting, camping / hiking, book launch, birthday party, benefit party, business lunch, beach vacation, barbeque, bar, baking class, bachelorette party, bachelor party, art exhibition, aquarium visit, alumni reunion |
Event type.
|
max_new_tokens |
integer
|
1500
Min: 1 |
Maximum number of tokens to generate. A word is generally 2-3 tokens
|
min_new_tokens |
integer
|
-1
Min: -1 |
Minimum number of tokens to generate. To disable, set to -1. A word is generally 2-3 tokens.
|
temperature |
number
|
0.9
Min: 0.01 Max: 5 |
Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
|
top_p |
number
|
0.9
Max: 1 |
When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
|
seed |
integer
|
0
Max: 1000 |
Seed for reproducibility
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'title': 'Output', 'type': 'string'}