Load a pretrained Limite model — limite_from_pretrained • Rlimite

The model is created on the meta device and then attached to the checkpoint tensors, avoiding a second initialized copy of the 1B parameters.

Usage

limite_from_pretrained(
  identifier = "paradigma-inc/limite-1b-violetto",
  revision = "main",
  local_files_only = FALSE,
  device = NULL
)

Arguments

identifier: Model identifier or local path.
revision: Hugging Face revision.
local_files_only: If TRUE, do not download missing Hub files.
device: Optional torch device such as "cpu" or "cuda".

Value

A pretrained Limite model in evaluation mode.