LLM Farm 4+

Run LLM

Artem Savkin

Designed for iPad

    • Free

Screenshots

Description

Load and test large language models with different parameters locally on your device. Now with support for multimodal models.

LLMFarm is an iOS and MacOS app to work with large language models (LLM). It allows you to load different LLMs with certain parameters.

# Features
* Various inferences
* Various sampling methods
* Metal
* Model setting templates
* LoRA adapters support
* LoRA FineTune and Export

# Inferences
* LLaMA
* GPTNeoX
* Replit
* GPT2 + Cerebras
* Starcoder(Santacoder)
* RWKV (20B tokenizer)
* Falcon
* MPT
* Bloom
* StableLM-3b-4e1t
* Qwen

# Multimodal
* LLaVA 1.5 models
* Obsidian
* MobileVLM 1.7B/3B models

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 inferece in model settings.

Sampling methods
* Temperature (temp, tok-k, top-p)
* Tail Free Sampling (TFS)
* Locally Typical Sampling
* Mirostat
* Greedy
* Grammar (dont work with GGJTv3)

What’s New

Version 1.0.1

If you are getting strange prediction results in version 1.0.1, but everything was fine in version 0.9.0, try disabling the BOS option in the template.

## Changes:
* llama.cpp updated to b2135
* Added support for multimodal models MobileVLM, Yi-VL, LLaVA, Obsidian tested on (mobileVLM 3B)
* Added the ability to download models from the application menu
* Added possibility to specify System Prompt, which will be added to the text of the first message in the session. See (https://github.com/guinmoon/LLMFarm/wiki/FAQ)
* Added ability to clone chat (without message history)
* Added progress indicator for model loading
* Added the ability to hide the keyboard, to do this tap anywhere in the chat window
* Added ability to temporarily disable chat autoscrolling by tapping anywhere in the chat window, autoscrolling will be enabled automatically when sending a new message
* When you clear the message history, the model context is also cleared
* Chats are sorted by last modification date
* Clear chat history button is placed on the toolbox.
* You can now use both {prompt} and {{prompt}} designations in templates
* Templates have been updated
* Fixed disappearing keyboard bug
* Fixed a bug with displaying already deleted chats and models
* Fixed crash on switch model
* Fixed a bug that could cause a crash on startup of feintune
* Fixed some bugs that could cause the application to crash
* Fixed some other bugs
* Some UI improvements

Ratings and Reviews

4.4 out of 5
14 Ratings

14 Ratings

Feeling defrauded ,

Looks promising

This app looks pretty promising, but it’s a little bit daunting to someone who’s not as familiar with setting up LLMs. For example, how do you download the LLMs and where do you go to get them? Which alarms are likely to work? It might be a good idea to include specific LLMs that have been tested on which devices. Some sort of tutorial or instructions would be really useful.

takemusuaiki ,

Impressive start.

Love this app. Surprisingly powerful and has tons of tweaking options that many apps on full computers lack. I use it on phone and iPad. I would love to see support for newer Gemma models and the ability act as an inference server like ollama or LM studio so I can run local inference for Obsidian or other apps.

hackerlocal.us ,

App only needs shortcut integrations

This is one of the best LLM apps for mobile! It has a lot of customizable settings and it supports a lot of quantized models. It also supports all the quantized models. Shortcut integration is all this amazing app needs please great developer add app intents to the app!

App Privacy

The developer, Artem Savkin, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary, for example, based on the features you use or your age. Learn More

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