This repository collects prompts, system prompts, and instructions for large language models.
Awesome Local LLM
This repository curates platforms, tools, practices, and resources for running language models locally.

About Awesome Local LLM
This GitHub repository is a community-curated list of platforms, tools, practices, and resources for running large language models locally. It is open-source and maintained by contributors. The list covers a wide range of local LLM use cases, including inference, training, fine-tuning, retrieval-augmented generation, agent development, and hardware setup, with resources for users of varying skill levels.
Key features
- Curates local LLM inference platforms and engines
- Lists open-source local LLM user interfaces
- Includes resources for local LLM training and fine-tuning
- Provides guides for retrieval-augmented generation with local models
- Covers local LLM agent frameworks and browser automation tools
- Includes hardware and prompt engineering tutorials for local LLMs
- Open-source, community-updated curated collection of local LLM resources
- Spans tools and guides for all stages of local LLM deployment and use
- Includes resources for both beginner and advanced local LLM users
Awesome Local LLM at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Awesome Local LLM FAQ
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