簡介

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

# Inferences
* LLaMA
* GPTNeoX
* Replit
* GPT2 + Cerebras
* Starcoder(Santacoder)
* RWKV
* Falcon
* MPT
* Bloom
* StableLM-3b-4e1t
* Qwen
* Gemma
* Phi
* Mamba
* Others

# Multimodal
* LLaVA 1.5 models
* Obsidian
* Bunny
* 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

新內容

版本 1.3.9

Changes:
* llama.cpp updated to b3837
* Added support for llama 3.2, 3.1, RWKV, MiniCPM(2.5, 2.6, 3), Chameleon models
* Added Metal support for Mamba
* Added Llama 3.2 download links (working with LLaMa3 Instruct template)
* Added Phi 3.5 download links (working with Phi 3 template)
* Added Bunny template and download link
* Some metal improvements
* Fixed some errors for gemma2, DeepSeek-V2, ChatGLM4, llama 3.1, T5, TriLMs, BitNet models
* Fixed some other errors

App 隱私權

開發者「Artem Savkin」指出 App 的隱私權實務可能包含下方描述的資料處理。如需更多資訊,請參閱開發者的隱私權政策

不收集資料

開發者不會從這個 App 收集任何資料。

隱私權實務可能因你使用的功能或你的年齡等因素而有所不同。進一步瞭解

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