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Playing with LLMs

Alex Ishida alexweberk

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Playing with LLMs
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@Helw150
Helw150 / parallel_t5.py
Last active May 10, 2023 14:52
Flan T5 Parallel Usage
from transformers import AutoTokenizer, T5ForConditionalGeneration
# Model Init
n_gpu = 8
tokenizer = AutoTokenizer.from_pretrained("google/flan-ul2")
model = T5ForConditionalGeneration.from_pretrained("google/flan-ul2")
heads_per_gpu = len(model.encoder.block) // n_gpu
device_map = {
gpu: list(
range(
@younesbelkada
younesbelkada / finetune_sft_trl.py
Last active August 8, 2024 20:21
Benchmarking SFT trainer with 8bit models
# 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
@karpathy
karpathy / add_to_zshrc.sh
Created August 25, 2024 20:43
Git Commit Message AI
# -----------------------------------------------------------------------------
# AI-powered Git Commit Function
# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It:
# 1) gets the current staged changed diff
# 2) sends them to an LLM to write the git commit message
# 3) allows you to easily accept, edit, regenerate, cancel
# But - just read and edit the code however you like
# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/
gcm() {