LLMFarm
LLMFarm is an innovative application designed for iOS and MacOS that allows users to work with large language models (LLMs) offline using the GGML library. This tool enables you to load various LLMs with specific parameters, facilitating performance testing to find the most suitable model for your projects.
Key Features:
- Multimodal Support: Work with different types of LLMs including Falcon, Alpaca, GPT4All, and more.
- Inference Options: Customize your inference settings through a JSON file for tailored performance.
- Sampling Methods: Utilize various sampling methods like Temperature, Greedy, and Mirostat to enhance model outputs.
- Model Management: Easily switch between models and manage settings through a user-friendly interface.
- Open Source: Built on open-source libraries, allowing for community contributions and transparency.
Benefits:
- Offline Accessibility: Use powerful LLMs without the need for an internet connection, ensuring privacy and security.
- Performance Testing: Experiment with different models to determine the best fit for your specific needs.
- Comprehensive Documentation: Access detailed guides and FAQs to assist with setup and usage.
Highlights:
- Supports a wide range of models and inference options.
- Built on the robust GGML library, ensuring high performance and efficiency.
- Active community support and regular updates to enhance functionality.