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import numpy as np

# Placeholder functions to be implemented

def get_lora_adapter(username: str) -> callable:
    """Returns a callable function for the Lora adapter."""
    pass

def get_reft_adapter(username: str) -> callable:
    """Returns a callable function for the reft adapter."""

keyboardAnt

# Refernce: https://static.sched.com/hosted_files/pytorch2023/c0/Accelerating%20Generative%20AI%20PTC%20%282%29.pdf?page=41

import torch


def speculative_decode(
    model: LLaMA,
    draft_model: LLaMA,
    cur_token: torch.Tensor,
    input_pos: int,

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PUT _watcher/watch/core_dumps_slack
{
    "trigger" : {
        "schedule" : {"interval" : "1m"}
    },
    "input" : {
        "search" : {
            "request" : {
                "body" : {
                    "query": {