LLM Farm 4+

Artem Savkin

Designad för iPad

    • Gratis

Skärmavbilder

Beskrivning

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)

Nyheter

Version 1.3.0

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

Appintegritet

Utvecklaren Artem Savkin har angett att appens integritetsrutiner kan inkludera hantering av data enligt beskrivningen nedan. Det finns mer information i utvecklarens integritetspolicy.

Data samlas inte in

Utvecklaren samlar inte in några data från den här appen.

Sekretessriktlinjer kan variera, till exempel utifrån de funktioner du använder eller din ålder. Läs mer

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