llama and other large language models on iOS and MacOS offline using GGML library.
llama and other large language models on iOS and MacOS offline using GGML library.
LLMFarm is an iOS and MacOS app to work with large language models (LLM). It allows you to load different LLMs with certain parameters.With LLMFarm, you can test the performance of different LLMs on iOS and macOS and find the most suitable model for your project.
Based on ggml and llama.cpp by Georgi Gerganov.
See full list here.
Note: For Falcon, Alpaca, GPT4All, Chinese LLaMA / Alpaca and Chinese LLaMA-2 / Alpaca-2, Vigogne (French), Vicuna, Koala, OpenBuddy (Multilingual), Pygmalion/Metharme, WizardLM, Baichuan 1 & 2 + derivations, Aquila 1 & 2, Mistral AI v0.1, Refact, Persimmon 8B, MPT, Bloom select llama inference in model settings.
You can find answers to some questions in the FAQ section.
When creating a chat, a JSON file is generated in which you can specify additional inference options. The chat files are located in the "chats" directory. You can see all inference options here.
You can find some of the supported models here.
llmfarm_core has been moved to a separate repository. To build llmfarm, you need to clone this repository recursively:
git clone --recurse-submodules https://github.com/guinmoon/LLMFarmNo open issues yet, or sync has not completed.