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anotherjesse /elelem:8cfa1b5e

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
None
max_new_tokens
integer
512
The maximum number of tokens the model should generate as output.
temperature
number
0.7
The value used to modulate the next token probabilities.
do_sample
boolean
True
Whether or not to use sampling; otherwise use greedy decoding.
top_p
number
0.95
A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).
top_k
integer
50
The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).
prompt_template
string
### System: Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: Translate the input from English to Hinglish ### Input: {prompt} ### Response:
The template used to format the prompt before passing it to the model. For no template, you can set this to `{prompt}`.

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'items': {'type': 'string'},
 'title': 'Output',
 'type': 'array',
 'x-cog-array-display': 'concatenate',
 'x-cog-array-type': 'iterator'}