---
title: "llm-engineer-toolkit"
type: "tool"
slug: "kalyanks-nlp-llm-engineer-toolkit"
canonical_url: "https://www.graphcanon.com/tools/kalyanks-nlp-llm-engineer-toolkit"
github_url: "https://github.com/KalyanKS-NLP/llm-engineer-toolkit"
homepage_url: "https://www.linkedin.com/in/kalyanksnlp/"
stars: 10570
forks: 1669
primary_language: null
license: "Apache-2.0"
categories: ["llm-frameworks", "developer-tools"]
tags: ["llms", "ai-engineer", "large-language-models", "generative-ai", "llm-engineer"]
updated_at: "2026-07-07T18:33:23.469156+00:00"
---

# llm-engineer-toolkit

> LLM Engineer Toolkit

A curated list of over 120 LLM libraries categorized for ease of use.

## Facts

- Repository: https://github.com/KalyanKS-NLP/llm-engineer-toolkit
- Homepage: https://www.linkedin.com/in/kalyanksnlp/
- Stars: 10,570 · Forks: 1,669 · Open issues: 19 · Watchers: 174
- License: Apache-2.0
- Last pushed: 2026-06-25T07:17:15+00:00

## Categories

- [LLM Frameworks](/categories/llm-frameworks.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

llms, ai-engineer, large-language-models, generative-ai, llm-engineer

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## README (excerpt)

```text
# 👨🏻‍💻 LLM Engineer Toolkit 
This repository contains a curated list of 120+ LLM libraries category wise.
<p align="center">
  <a href="https://www.linkedin.com/in/kalyanksnlp/">
    <img src="https://custom-icon-badges.demolab.com/badge/Kalyan%20KS-0A66C2?logo=linkedin-white&logoColor=fff" alt="LinkedIn">
  </a>
  <a href="https://x.com/kalyan_kpl">
    <img src="https://img.shields.io/badge/Kalyan%20KS-%23000000.svg?logo=X&logoColor=white" alt="Twitter">
  </a>
   <a href="https://www.youtube.com/@kalyanksnlp">
    <img src="https://img.shields.io/badge/Kalyan%20KS-%23FF0000.svg?logo=YouTube&logoColor=white" alt="Twitter">
  </a>
	
</p>

## Related Repositories
- 👨🏻‍💻[LLM Interview Questions and Answers Hub](https://github.com/KalyanKS-NLP/LLM-Interview-Questions-and-Answers-Hub) - 100+ LLM interview questions and answers (basic to advanced). 
- 🚀[Prompt Engineering Techniques Hub](https://github.com/KalyanKS-NLP/Prompt-Engineering-Techniques-Hub)  - 25+ prompt engineering techniques with LangChain implementations.
- 🩸[LLM, RAG and Agents Survey Papers Collection](https://github.com/KalyanKS-NLP/LLM-Survey-Papers-Collection) - Category wise collection of 200+ survey papers.


## Stay Updated with Generative AI, LLMs, Agents and RAG.

Join 🚀 [**AIxFunda** free newsletter](https://aixfunda.substack.com/) to get *latest updates* and *interesting tutorials* related to Generative AI, LLMs, Agents and RAG. 
- ✨ Weekly GenAI updates
- 📄 Weekly LLM, Agents and RAG paper updates
- 📝 1 fresh blog post on an interesting topic every week

## Quick links
||||
|---|---|---|
| [🚀 LLM Training](#llm-training-and-fine-tuning) | [🧱 LLM Application Development](#llm-application-development) | [🩸LLM RAG](#llm-rag) | 
| [🟩 LLM Inference](#llm-inference)| [🚧 LLM Serving](#llm-serving) | [📤 LLM Data Extraction](#llm-data-extraction) |
| [🌠 LLM Data Generation](#llm-data-generation) | [💎 LLM Agents](#llm-agents)|[⚖️ LLM Evaluation](#llm-evaluation) | 
| [🔍 LLM Monitoring](#llm-monitoring) | [📅 LLM Prompts](#llm-prompts) | [📝 LLM Structured Outputs](#llm-structured-outputs) |
| [🛑 LLM Safety and Security](#llm-safety-and-security) | [💠 LLM Embedding Models](#llm-embedding-models) | [❇️ Others](#others) |



## LLM Training and Fine-Tuning
| Library             | Description                                                                                     | Link |
|---------------------|-------------------------------------------------------------------------------------------------|------|
| unsloth            | Fine-tune LLMs faster with less memory.                                                          | [Link](https://github.com/unslothai/unsloth) |
| PEFT                | State-of-the-art Parameter-Efficient Fine-Tuning library.                                       | [Link](https://github.com/huggingface/peft) |
| TRL                 | Train transformer language models with reinforcement learning.                                  | [Link](https://github.com/huggingface/trl) |
| Transformers       | Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. | [Link](https://github.com/huggingface/transformers) |
| Axolotl           | Tool designed to streamline post-training for various AI models.                                 | [Link](https://github.com/axolotl-ai-cloud/axolotl/) |
| LLMBox             | A comprehensive library for implementing LLMs, including a unified training pipeline and comprehensive model evaluation. | [Link](https://github.com/RUCAIBox/LLMBox) |
| LitGPT             | Train and fine-tune LLM lightning fast.                                                          | [Link](https://github.com/Lightning-AI/litgpt) |
| Mergoo            | A library for easily merging multiple LLM experts, and efficiently train the merged LLM.         | [Link](https://github.com/Leeroo-AI/mergoo) |
| Llama-Factory      | Easy and efficient LLM f
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/kalyanks-nlp-llm-engineer-toolkit`](/api/graphcanon/tools/kalyanks-nlp-llm-engineer-toolkit)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
