STACKQUADRANT

Fine-tuning Tools

Tools for fine-tuning, training, and adapting foundation models

56 repos

bespokelabsai/curator

6.7

Synthetic data curation for post-training and structured data extraction

1.7k143Python

intelligent-machine-learning/dlrover

6.5

DLRover: An Automatic Distributed Deep Learning System

1.7k214Python

NVIDIA-NeMo/Curator

6.5

Scalable data pre processing and curation toolkit for LLMs

1.7k303Python

R6410418/Jackrong-llm-finetuning-guide

5.8

Jackrong-llm-finetuning-guide — open-source AI/LLM project.

1.6k259Jupyter Notebook

utkuozdemir/nvidia_gpu_exporter

6.7

Nvidia GPU exporter for prometheus using nvidia-smi binary

1.5k149Go

ARahim3/mlx-tune

5.6

Bringing the Unsloth experience to Mac users via Apple's MLX framework

1.4k88Python

SakanaAI/text-to-lora

5.0

Hypernetworks that adapt LLMs for specific benchmark tasks using only textual task description as the input

1.3k87Python

datadreamer-dev/DataDreamer

4.9

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

1.1k59Python

InternScience/GraphGen

6.0

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

1.1k81Python

volcengine/veScale

5.2

Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs

1.0k62Python

louisfb01/start-llms

5.2

A complete guide to start and improve your LLM skills in 2026 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

981128

theredsix/cerebellum

5.0

Browser automation system that uses AI-driven planning to navigate web pages and perform goals.

86457Python

tingaicompass/AI-Compass

5.5

“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向,无论你是初学者还是进阶开发者,都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势,并通过实践掌握从理论到落地的全过程。

858113Python

sail-sg/Adan

4.4

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

81969Python

IntelLabs/RAG-FiT

5.6

Framework for enhancing LLMs for RAG tasks using fine-tuning.

76862Python

ghimiresunil/LLM-PowerHouse-A-Curated-Guide-for-Large-Language-Models-with-Custom-Training-and-Inferencing

5.0

LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.

730121Jupyter Notebook

feifeibear/long-context-attention

5.7

USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference

68181Python

yinizhilian/ICLR2025-Papers-with-Code

3.3

历年ICLR论文和开源项目合集,包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

58932

rohan-paul/LLM-FineTuning-Large-Language-Models

3.6

LLM (Large Language Model) FineTuning

576139Jupyter Notebook

chrisliu298/awesome-on-policy-distillation

4.6

A curated collection of papers, technical reports, frameworks, and tools for on-policy distillation (OPD) of large language models

53520

anarchy-ai/LLM-VM

4.8

irresponsible innovation. Try now at https://chat.dev/

491137Python

mallorbc/Finetune_LLMs

3.8

Repo for fine-tuning Casual LLMs

46786Python

awslabs/awsome-distributed-training

5.9

Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.

463197Shell

FlagAI-Open/Aquila2

3.6

The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.

44632Python