This parameter specifies the utmost variety of tokens {that a} language mannequin, significantly inside the vllm framework, will generate in response to a immediate. For example, setting this worth to 500 ensures the mannequin produces a completion now not than 500 tokens.
Controlling the output size is essential for managing computational assets and guaranteeing the generated textual content stays related and targeted. Traditionally, limiting output size has been a typical observe in pure language processing to forestall fashions from producing excessively lengthy and incoherent responses, optimizing for each pace and high quality.
