apollohuang1
younesbelkada
/ finetune_llama_v2.py
Last active
March 31, 2026 08:26
Fine tune Llama v2 models on Guanaco Dataset
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # 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 |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # Taken from https://johanwind.github.io/2023/03/23/rwkv_details.html. | |
| # I've added additional comments restructured it a tiny bit, which makes it clearer for me. | |
| import numpy as np | |
| from torch import load as torch_load # Only for loading the model weights | |
| from tokenizers import Tokenizer | |
| exp = np.exp | |
| layer_norm = lambda x, w, b : (x - np.mean(x)) / np.std(x) * w + b | |
| sigmoid = lambda x : 1/(1 + exp(-x)) |