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

Granite-3.3-8B-Instruct is a 8-billion parameter 128K context length language model fine-tuned for improved reasoning and instruction-following capabilities.

Capabilities

SeedSystem PromptMax TokensTop-P

Cost

Community model (estimated from hardware time)

Input Parameters

add_generation_promptboolean

Add generation prompt. Passed to the chat template. Defaults to True.

Default: true
chat_templatestring

A template to format the prompt with. If not specified, the chat template provided by the model will be used.

chat_template_kwargsobject

Additional arguments to be passed to the chat template.

Default: [object Object]
documentsarray

Documents for request. Passed to the chat template.

Default:
frequency_penaltynumber

Frequency penalty

Default: 0
max_completion_tokensinteger

An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and reasoning tokens.

max_tokensinteger

max_tokens is deprecated in favor of the max_completion_tokens field.

messagesarray

Chat completion API messages.

Default:
min_tokensinteger

The minimum number of tokens the model should generate as output.

Default: 0
presence_penaltynumber

Presence penalty

Default: 0
promptstring

Completion API user prompt.

response_formatobject

An object specifying the format that the model must output.

seedinteger

Random seed. Leave unspecified to randomize the seed.

stoparray

A list of sequences to stop generation at. For example, ["<end>","<stop>"] will stop generation at the first instance of "<end>" or "<stop>".

Default:
streamboolean

Request streaming response. Defaults to False.

Default: false
system_promptstring

Completion API system prompt. The chat template provides a good default.

temperaturenumber

The value used to modulate the next token probabilities.

Default: 0.6
tool_choicestring

Tool choice for request. If the choice is a specific function, this should be specified as a JSON string.

toolsarray

Tools for request. Passed to the chat template.

Default:
top_kinteger

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).

Default: 50
top_pnumber

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).

Default: 0.9
Version: 618ecbe80773Updated: 7/25/20261.7M runs