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@willccbb
willccbb / grpo_demo.py
Last active April 25, 2025 06:11
GRPO Llama-1B
# 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
@younesbelkada
younesbelkada / finetune_llama_v2.py
Last active April 7, 2025 18:27
Fine tune Llama v2 models on Guanaco Dataset
# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
@denguir
denguir / cuda_install.md
Last active April 20, 2025 17:34
Installation procedure for CUDA / cuDNN / TensorRT

How to install CUDA / cuDNN / TensorRT on Ubuntu

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

Remove previous NVIDIA installation

@JoaoLages
JoaoLages / RLHF.md
Last active April 3, 2025 13:14
Reinforcement Learning from Human Feedback (RLHF) - a simplified explanation

Maybe you've heard about this technique but you haven't completely understood it, especially the PPO part. This explanation might help.

We will focus on text-to-text language models 📝, such as GPT-3, BLOOM, and T5. Models like BERT, which are encoder-only, are not addressed.

Reinforcement Learning from Human Feedback (RLHF) has been successfully applied in ChatGPT, hence its major increase in popularity. 📈

RLHF is especially useful in two scenarios 🌟:

  • You can’t create a good loss function
    • Example: how do you calculate a metric to measure if the model’s output was funny?
  • You want to train with production data, but you can’t easily label your production data