Question: Is there a desktop app that allows me to experiment with different Large Language Models without requiring an internet connection?

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LM Studio

If you want a desktop app to try out Large Language Models (LLMs) without going online, LM Studio is a good option. This cross-platform app supports a variety of Hugging Face-compatible models and works even when you're offline. It's got a simple graphical interface to set up models and run inferences, and it'll use your GPU for speed. LM Studio is free for personal use, doesn't track you, and doesn't collect data.

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AnythingLLM

Another good option is AnythingLLM, a full-featured business intelligence tool that can run fully offline. It lets companies process and analyze documents by the gigabyte using any LLM, including their own, and gives them full control over those models. AnythingLLM can be used as a hosted cloud service or installed on a desktop, and it offers 100% privacy.

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Private LLM

If you want a local AI chatbot, Private LLM is a good option. It supports a variety of open-source LLM models and runs offline, with features like grammar correction, summarization and text expansion in multiple languages. It also integrates with Siri and Shortcuts, so you can have a private and secure AI assistant.

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Lamini

If you want a platform to build and manage your own LLMs, Lamini is geared for software teams. It can run in air-gapped environments and has features like memory tuning and high-throughput inference. Lamini can be installed on-premise or in the cloud, so it's a good option for managing the model lifecycle.

Additional AI Projects

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Alice

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Prem

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Airtrain AI

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Dify

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BoltAI

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Vellum

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Langfuse

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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LlamaIndex

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Langtail

Streamline AI app development with a suite of tools for debugging, testing, and deploying LLM prompts, ensuring faster iteration and more predictable outcomes.

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Open Assistant

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LLM Explorer

Discover and compare 35,809 open-source language models by filtering parameters, benchmark scores, and memory usage, and explore categorized lists and model details.

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Baseplate

Links and manages data for Large Language Model tasks, enabling efficient embedding, storage, and versioning for high-performance AI app development.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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Role Model AI

Interact with multiple Large Language Models in one place, managing tasks, analyzing data, and generating content through customizable interfaces and integrations.

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Promptfoo

Assess large language model output quality with customizable metrics, multiple provider support, and a command-line interface for easy integration and improvement.

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Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.