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ibm-granite /granite-3.3-8b-instruct:8afd11cc

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
Completion API user prompt.
messages
array
[]
Chat completion API messages.
documents
array
[]
Documents for request. Passed to the chat template.
tools
array
[]
Tools for request. Passed to the chat template.
system_prompt
string
Completion API system prompt. The chat template provides a good default.
chat_template
string
A template to format the prompt with. If not specified, the chat template provided by the model will be used.
add_generation_prompt
boolean
True
Add generation prompt. Passed to the chat template. Defaults to True.
chat_template_kwargs
object
{}
Additional arguments to be passed to the chat template.
min_tokens
integer
0
The minimum number of tokens the model should generate as output.
max_tokens
integer
512
The maximum number of tokens the model should generate as output.
temperature
number
0.6
The value used to modulate the next token probabilities.
top_p
number
0.9
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).
presence_penalty
number
0
Presence penalty
frequency_penalty
number
0
Frequency penalty
stop_sequences
string
A comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of '<end>' or '<stop>'.
seed
integer
Random seed. Leave unspecified to randomize the seed.
stream
boolean
False
Request streaming response. Defaults to False.

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'}