Meta
7 params
Meta Llama 4 Scout 17B 16E Instruct FP8 parameters
These are the parameters modelparams.dev tracks for Meta Llama 4 Scout 17B 16E Instruct FP8. Each row gives the type, default, valid range or values, and the conditions that gate it. It's the same data the JSON API serves.
| Parameter | Type | Default | Description | Condition |
|---|---|---|---|---|
| Length · 1 param | ||||
|
Max completion tokens
max_completion_tokens
|
integer (1…+∞) | — | Maximum number of output tokens the model may generate. | — |
| Sampling · 4 params | ||||
|
Temperature
temperature
|
number | — | Controls randomness. Lower values make outputs more focused; higher values make them more varied. | — |
|
Top P
top_p
|
number | — | Controls nucleus sampling by limiting generation to tokens within the selected cumulative probability. | — |
|
Top K
top_k
|
integer | — | Limits generation to the selected number of highest-probability tokens. | — |
|
Repetition penalty
repetition_penalty
|
number | — | Penalizes tokens that have already appeared to reduce repetition in the output. | — |
| Tools · 1 param | ||||
|
Tool choice
tool_choice
|
enum (auto | none | required) | — | Controls whether the model may call tools, must call one, or skips tool calls. | — |
| Output · 1 param | ||||
|
Response format
response_format.type
|
enum (text | json_schema) | "text" | Controls whether the model returns normal text or a schema-constrained JSON object. | — |