Simplifine

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Learn about the `Client` class within Simplifine's cloud training platform to establish a connection with the cloud server.

Cloud Client

Simplifine is an open-source Python library designed to streamline the fine-tuning of large language models (LLMs). From training to evaluation to serving, we got your back!

Quickstart

Welcome to the Cloud Quickstart guide for Simplifine's Train Engine. This guide will help you get up and running quickly with training models in the cloud using Distributed Data Parallel (DDP).

Cloud Training Quickstart

Learn how to train models on your device using Simplifine.

On-Device Training Quickstart

Learn about the `hf_sft` function within Simplifine’s Train Engine

Supervised Fine-Tuning (SFT)

Learn about the `hf_sft` function within Simplifine's Train Engine

Supervised Fine-Tuning with Hugging Face

Learn about the `clm_train` function within Simplifine's Train Engine

Causal Language Modeling Training

Learn about the `hf_clm_train` function within Simplifine's Train Engine

Hugging Face Causal Language Model Training

Learn about the `hf_clf_multi_label_train` function within Simplifine's Train Engine

Hugging Face Multi-Label Classification Training

Learn about the `hf_clf_train` function within Simplifine's Train Engine

Hugging Face Classification Training

Learn about the `hf_finetune_llm_qa` function within Simplifine's Train Engine

Hugging Face Fine-Tuning for Question Answering

Learn about the `generate_from_pretrained` function within Simplifine's Inference Tools

Generate Text from A Pretrained Model

Learn about the `sft_train_cloud` function within Simplifine's Train Engine for training models in the cloud

Cloud-Based Supervised Fine-Tuning (SFT) Training

Learn about the `clm_train_cloud` function within Simplifine's Train Engine for training models in the cloud

Get Started

Training

Inference

Cloud