6 Open Source LLM Tools You Should Know
6 LLM Tools to Build Better Products & Do Things Faster
As the open-source ecosystem around Large Language Models (LLMs) continues to grow, developers and researchers are building an impressive set of tools to simplify everything from training to inference.
In this blog post, we spotlight six standout open-source projects — Transformer Lab, STORM, LLMs.txt Generator, YourBench, LiteLLM, and LoRAX — that address real-world challenges like benchmarking, serving, and managing fine-tuned models at scale.
Whether you’re fine-tuning models, evaluating their performance, or deploying them in production, these tools offer practical solutions to help streamline your workflow and make LLM development more accessible and efficient.
Table of Contents:
1. Transformer Lab — Open Source LLM Toolkit
Transformer Lab is a 100% open-source toolkit for Large Language Models. You can use the Transformer Lab toolkit to train, tune, and chat with LLMs on your own Machine.
One-click Download Hundreds of Popular Models
Download any LLM from Huggingface
Fine-tune / Train Across Different Hardware
RLHF and Preference Optimization
Work with LLMs Across Operating Systems
Chat with Models
Use Different Inference Engines
Evaluate models
RAG (Retrieval Augmented Generation)
Build Datasets for Training
Calculate Embeddings
Full REST API
Run in the Cloud
Convert Models Across Platforms
Plugin Support
Embedded Monaco Code Editor
Prompt Editing
Inference Logs
2. STORM
