llm-engineer-toolkit
A curated list of over 120 LLM libraries categorized.
GraphCanon updated 4d · GitHub synced 4d
Decision brief
A curated list of over 120 Large Language Model (LLM) libraries organized into categories essential for development and application creation, aimed at engineers working with generative AI technologies.
Good fit when
- - You need a wide range of categorized LLM libraries to explore various aspects of LLM engineering, including training, inference, application development, evaluation, and observability.
- - You are looking for a hub that provides easy navigation through different types of tools required for building scalable AI applications.
Avoid when
- - If you require real-time updates or active community support, this curated list might not provide real-time interactions compared to a more dynamic platform with an active developer community.
- - You prefer specific use-case tutorials rather than a comprehensive, categorized library guide; other platforms may offer more detailed implementation guides and step-by-step instructions.
- Requirements:
- - No specific programming language requirement noted in the repository content.; - Access to various LLM libraries listed within the repository.
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
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Install
git clone https://github.com/KalyanKS-NLP/llm-engineer-toolkitHow it fits your stack(13)
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Evidence and technical details
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Overview
The repository provides a comprehensive list of large language model (LLM) libraries, categorized into different groups essential for development and application creation. It serves as a toolkit for engineers working with generative AI technologies.
Capability facts
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Compatibility
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Source: README excerpt (regex_v1, Aug 17, 2026)
LP/Prompt-Engineering-Techniques-Hub) - 25+ prompt engineering techniques with LangChain implementations.Source link
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README
👨🏻💻 LLM Engineer Toolkit
This repository contains a curated list of 120+ LLM libraries category wise.
Related Repositories
- 👨🏻💻LLM Interview Questions and Answers Hub - 100+ LLM interview questions and answers (basic to advanced).
- 🚀Prompt Engineering Techniques Hub - 25+ prompt engineering techniques with LangChain implementations.
- 🩸LLM, RAG and Agents Survey Papers Collection - Category wise collection of 200+ survey papers.
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Quick links
| 🚀 LLM Training | 🧱 LLM Application Development | 🩸LLM RAG |
| 🟩 LLM Inference | 🚧 LLM Serving | 📤 LLM Data Extraction |
| 🌠 LLM Data Generation | 💎 LLM Agents | ⚖️ LLM Evaluation |
| 🔍 LLM Monitoring | 📅 LLM Prompts | 📝 LLM Structured Outputs |
| 🛑 LLM Safety and Security | 💠 LLM Embedding Models | ❇️ Others |
LLM Training and Fine-Tuning
| Library | Description | Link |
|---|---|---|
| unsloth | Fine-tune LLMs faster with less memory. | Link |
| PEFT | State-of-the-art Parameter-Efficient Fine-Tuning library. | Link |
| TRL | Train transformer language models with reinforcement learning. | Link |
| Transformers | Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. | Link |
| Axolotl | Tool designed to streamline post-training for various AI models. |
For agents
This page has a .md twin and JSON over the API.