diff options
author | Christian Cleberg <hello@cleberg.net> | 2024-04-27 17:01:13 -0500 |
---|---|---|
committer | Christian Cleberg <hello@cleberg.net> | 2024-04-27 17:01:13 -0500 |
commit | 74992aaa27eb384128924c4a3b93052961a3eaab (patch) | |
tree | d5193997d72a52f7a6d6338ea5da8a6c80b4eddc /content/blog/2024-01-13-local-llm.org | |
parent | 3def68d80edf87e28473609c31970507d9f03467 (diff) | |
download | cleberg.net-74992aaa27eb384128924c4a3b93052961a3eaab.tar.gz cleberg.net-74992aaa27eb384128924c4a3b93052961a3eaab.tar.bz2 cleberg.net-74992aaa27eb384128924c4a3b93052961a3eaab.zip |
test conversion back to markdown
Diffstat (limited to 'content/blog/2024-01-13-local-llm.org')
-rw-r--r-- | content/blog/2024-01-13-local-llm.org | 108 |
1 files changed, 0 insertions, 108 deletions
diff --git a/content/blog/2024-01-13-local-llm.org b/content/blog/2024-01-13-local-llm.org deleted file mode 100644 index ccde66e..0000000 --- a/content/blog/2024-01-13-local-llm.org +++ /dev/null @@ -1,108 +0,0 @@ -#+title: Running Local LLMs on macOS and iOS -#+date: 2024-01-13 -#+description: Finding some useful applications for running local LLMs on macOS and iOS. -#+filetags: :apple: - -* Requirements -I've recently started playing with large language models (LLMs), mostly -in the popular chatbot form, as part of my job and have decided to see -if there's a consistent and reliable way to interact with these models -on Apple devices without sacrificing privacy or requiring in-depth -technical setup. - -My requirements for this test: - -- Open source platform -- On-device model files -- Minimal required configuration -- Preferably pre-built, but a simple build process is acceptable - -I tested a handful of apps and have summarized my favorite (so far) for -macOS and iOS below. - -#+begin_quote -TL;DR - Here are the two that met my requirements and I have found the -easiest to install and use so far: - -#+end_quote - -- macOS: [[https://ollama.ai/][Ollama]] -- iOS : [[https://llmfarm.site/][LLM Farm]] - -* macOS -[[https://ollama.ai/][Ollama]] is a simple Go application for macOS and -Linux that can run various LLMs locally. - -For macOS, you can download the pplication on the -[[https://ollama.ai/download/mac][Ollama download page]] and install it -by unzipping the =Ollama.app= file and moving it to the =Applications= -folder. - -If you prefer the command line, you can run these commands after the -download finished: - -#+begin_src sh -cd ~/Downloads && \ -unzip Ollama-darwin.zip && \ -mv ~/Downloads/Ollama.app /Applications/ -#+end_src - -After running the app, the app will ask you to open a terminal and run -the default =llama2= model, which will open an interactive chat session -in the terminal. You can startfully using the application at this point. - -#+caption: Ollama -[[https://img.cleberg.net/blog/20240113-local-llm/ollama.png]] - -If you don't want to use the default =llama2= model, you can download -and run additional models found on the -[[https://ollama.ai/library][Models]] page. - -To see the information for the currently-used model, you can run the -=/show info= command in the chat. - -#+caption: Model Info -[[https://img.cleberg.net/blog/20240113-local-llm/ollama_info.png]] - -** Community Integrations -I highly recommend browsing the -[[https://github.com/jmorganca/ollama#community-integrations][Community -Integrations]] section of the project to see how you would prefer to -extend Ollama beyond a simple command-line interface. There are options -for APIs, browser UIs, advanced terminal configurations, and more. - -#+caption: Ollama SwiftUI -[[https://img.cleberg.net/blog/20240113-local-llm/ollama-swiftui.png]] - -* iOS -While there are a handful of decent macOS options, it was quite -difficult to find an iOS app that offered an open source platform -without an extensive configuration and building process. I found LLM -Farm to be decent enough in quality to sit at the top of my list - -however, it's definitely not user friendly enough for me to consider -using it on a daily basis. - -[[https://llmfarm.site/][LLM Farm]] is available on TestFlight, so -there's no manual build process required. However, you can view the -[[https://github.com/guinmoon/LLMFarm][LLMFarm repository]] if you wish. - -The caveat is that you will have to manually download the model files -from the links in the -[[https://github.com/guinmoon/LLMFarm/blob/main/models.md][models.md]] -file to your iPhone to use the app - there's currently no option in the -app to reach out and grab the latest version of any supported model. - -Once you have a file downloaded, you simply create a new chat and select -the downloaded model file and ensure the inference matches the -requirement in the =models.md= file. - -See below for a test of the ORCA Mini v3 model: - -| Chat List | Chat | -|------------------------------------------------------------------------+------------------------------------------------------------------| -| [[https://img.cleberg.net/blog/20240113-local-llm/llm_farm_chats.png]] | [[https://img.cleberg.net/blog/20240113-local-llm/llm_farm.png]] | - -[[https://github.com/AugustDev/enchanted][Enchanted]] is also an iOS for -private AI models, but it requires a public-facing Ollama API, which did -not meet my "on device requirement." Nonetheless, it's an interesting -looking app and I will likely set it up to test soon. |