willccbb

# train_grpo.py
#
# See https://github.com/willccbb/verifiers for ongoing developments
#
import re
import torch
from datasets import load_dataset, Dataset
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import LoraConfig
from trl import GRPOConfig, GRPOTrainer

vgel

import argparse
import random
import sys

from transformers import AutoModelForCausalLM, AutoTokenizer, DynamicCache
import torch

parser = argparse.ArgumentParser()
parser.add_argument("question", type=str)
parser.add_argument(

balouf

ed1d1a8d

import numpy as np
import openai
import scipy.special

import tiktoken


def get_top_chat_logprobs(
    model: str,
    messages: list[dict[str, str]],

sientifiko

library(tidyverse)
theme_set(theme_bw(base_size = 21))
options(scipen = 999)

dat <- read.csv("dataregionesChile.csv")

# filtrar el año 2020
y2020 <- dat %>% filter(year == 2020)

# generar histograma

jbwhit

RaphaelWimmer

#!/usr/bin/env python3 
import openai
import time
import matplotlib.pyplot as plt

def pick_numbers(n, model, temperature, clean_session):
    numbers = []
    messages = []
    system_msg = "Please only respond with the number, don't say anything else."
    messages.append({"role": "system", "content": system_msg})

kylemcdonald

tcapelle

import os
import openai
from rich.console import Console

console = Console()

openai.api_key = os.getenv("OPENAI_API_KEY")
    
history = [{"role": "system", "content": "You are a helpful assistant."},]

AustinRochford