cinemasetfree.com
meta/llama-4-maverick-instruct
A 17 billion parameter model with 128 experts
Capabilities
Cost
Community model (estimated from hardware time)
Input Parameters
| Name | Type | Description | Default | Constraints |
|---|---|---|---|---|
frequency_penalty | number | Frequency penalty | 0 | — |
max_tokens | integer | The maximum number of tokens the model should generate as output. | 4096 | min: 0, max: 131072 |
min_tokens | integer | The minimum number of tokens the model should generate as output. | 0 | — |
presence_penalty | number | Presence penalty | 0 | — |
prompt | string | Prompt | "" | — |
prompt_template | string | A template to format the prompt with. If not provided, the default prompt template will be used. | "" | — |
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>'. | "" | — |
system_prompt | string | System prompt to send to the model. This is prepended to the prompt and helps guide system behavior. Ignored for non-chat models. | "You are a helpful assistant." | — |
temperature | number | The value used to modulate the next token probabilities. | 0.6 | — |
top_k | integer | 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). | 50 | — |
top_p | number | 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). | 0.9 | — |
frequency_penaltynumberFrequency penalty
0max_tokensintegerThe maximum number of tokens the model should generate as output.
4096min: 0, max: 131072min_tokensintegerThe minimum number of tokens the model should generate as output.
0presence_penaltynumberPresence penalty
0promptstringPrompt
""prompt_templatestringA template to format the prompt with. If not provided, the default prompt template will be used.
""stop_sequencesstringA comma-separated list of sequences to stop generation at. For example, '<end>,<stop>' will stop generation at the first instance of 'end' or '<stop>'.
""system_promptstringSystem prompt to send to the model. This is prepended to the prompt and helps guide system behavior. Ignored for non-chat models.
"You are a helpful assistant."temperaturenumberThe value used to modulate the next token probabilities.
0.6top_kintegerThe 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).
50top_pnumberA 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).
0.9d79a9e4383bfUpdated: 7/25/20264.7M runs