This repository curates frameworks, libraries, and software for large language models.
LLM Explorer
LLM Explorer indexes AI agents, frameworks, SDKs, and open-source language models.
About LLM Explorer
LLM Explorer is a web directory that indexes AI agents, agent frameworks, SDKs, and open-source language models. The homepage states that it lists 150 AI agents and 63,791 open-source language models. Agent entries show type, stars, forks, and license.
Users can browse models by category and benchmark, and filter them by memory fit (for example, models that fit 4GB or 8GB of VRAM) and by quantization format such as GGUF, GPTQ, or EXL2. The homepage describes comparing features and benchmarks. Pricing is listed as unknown, and the directory is not open source.
Key features
- Searchable index of AI agents, frameworks, SDKs, and coding agents
- Agent tables showing type, stars, forks, and license
- Open-source model lists by category, such as code generation and instruction-based models
- Filters for models that fit 4GB or 8GB of VRAM and for small models
- Quantization filters for GGUF, GPTQ, and EXL2 model formats
- Benchmark-based lists using LMSys Chatbot Arena ELO and LLM Explorer Score
Best for: Developers and researchers who want to compare AI agents or open-source language models for a project, especially when GPU memory is limited.
Good for
- Covers both AI agents and open-source language models in one directory
- Agent tables show license, stars, and forks for side-by-side comparison
- Memory-fit and quantization filters help match models to available hardware
LLM Explorer at a glance
- Website
- llm-explorer.com
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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LLM Explorer FAQ
Which filters can I use when browsing language models?
The homepage lists filters for Fit 4GB, Fit 8GB, GGUF, GPTQ, EXL2, MoE, and Small, along with a Recent option and a CodeGen and Instruct option.
Can I get updates about new models?
The homepage includes a option to subscribe to LLM updates.
Is something wrong or out of date?
Tell us and an editor will check it.
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