Live Reviews:
⭐️4.4 / 5
Rating
🙌19
Ratings
📼4 scs
Content
📦~ in 1 month
Updates frequency
🗣❌ unsupported
Your locale

All Versions of LLM Farm

1.3.0

June 28, 2024

Changes: * LLaMA.cpp updated to b3190 * Added support for DeepseekV2, GPTNeoX (Pythia and others) * Added support for Markdown formatting * Added support for using history in Shortcuts * Added Flash Attention support * Added NPredict option * Save/Load context state. Now it is possible to continue the dialog with the model even after the program is reopened. * Chat settings such as sampling are now applied without reloading the chat. * Skip tokens option. Allows you to specify tokens that will not be displayed in the results. May be useful for phi3 and qwen. * Metal and CPU inference improvements * Sampling and eval improvements * Some fixes for phi-3 and MiniCPM * Fixed some errors * Added Qwen template
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1.2.0

May 23, 2024

Changes: * Added shortcuts support * llama.cpp updated to b2864 * Some llama-3, Command-R fixes * Added llama3 instruct template * Fixed a bug that could cause the application to crash if the system prompt format is incorrect * Fix memory bug in grammar parser * Fixed some other bugs
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1.1.1

May 5, 2024

Changes: * llama.cpp updated to b2717 * Phi3, Mamba(CPU only), Gemma, StarCoder2, GritLM, Command-R, MobileVLM_V2, qwen2moe models * IQ1_S, IQ2_S, IQ2_M, IQ3_S, IQ4_NL, IQ4_XS quntization support * Performance improvements * Fixed crash when EOS option is on * Fixed image orientation * Added warning about creating a chat without a selected model
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1.0.1

March 25, 2024

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
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0.9.0

February 1, 2024

Changes: * llama.cpp updated to b1891 * added support for Phi2, TinyLlama and other models * various GUI improvements * added clear chat button * user templates improve * fixed token to string issue * fixed gpt2 metal * fixed many other errors
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0.8.1

December 24, 2023

* llama.cpp updated to b1601 * added support for StableLM-3b-4e1t models * added support for Qwen models * added the possibility to merge LoRA with the model * added merge and train LoRA progress bar * added the possibility to save user templates * added multyline input * fixed many other errors
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0.7.5

December 13, 2023

Price History of LLM Farm

Description of LLM Farm

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 * Gemma * Phi * Mamba * Others # 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)
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LLM Farm: FAQ

Is there an iPad version available for LLM Farm?

Yes, LLM Farm can be used on iPad devices.
The LLM Farm app was built by Artem Savkin.
The minimum required iOS version for the app to work is 16.0 or higher.
The current user rating of the LLM Farm app is 4.4.
The Llm Farm App Relates To The Developer Tools Genre.
The newest version of LLM Farm is 1.3.0.
July 5, 2024 is the exact date of the latest LLM Farm update.
The LLM Farm app became available to the public on December 14, 2023.
Artem Savkin: The LLM Farm app is child-friendly.
LLM Farm can be used in English.
Sorry, LLM Farm is not on Apple Arcade.
Sorry, in-app purchases are not available for users of LLM Farm.
Sorry, LLM Farm is not specifically engineered for compatibility with Apple Vision Pro.

Screenshots of LLM Farm

iphone
ipad

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Reviews of LLM Farm

  • Application Crashed

    The app keeps crashing every time i send the first message “hi” it do crash without any respond
  • AI

    Tons of AI fun…great app
  • Best LLM app available

    The app need Markdown for LLM responses. Often time the LLM will output in markdown but the app doesn’t parse it. Other then that, this is the best LLM app for mobile! It has a lot of customizable settings and it supports a lot of quantized models. It also supports all the shortcuts. What other open source LLM app can compete with this? Its developer is active and constantly trying to improved the app. I love this app.