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guinmoon

LLMFarm

llama and other large language models on iOS and MacOS offline using GGML library.

InfrastructureModel HubC
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创建于 2023-06-14 · 更新于 2026-10-14 · 今日第 9013 名
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guinmoon/LLMFarm 排名第 9,013,有 2,080 个星标。

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guinmoon/LLMFarm 排名第 9,013,此处有 8 个同类条目;vitoplantamura/OnnxStream 排名第 9,008。

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关键参数与规格
关键参数与规格
参数值
语言C
类别Infrastructure
子类别Model Hub
关键词LocalAI, Side-by-side model comparison
星标数2,080
分叉数186
贡献者1
创建日期2023-06-14
更新日期2026-10-14
1 天星标数0
7 天星标数2
排名9,013
上次排名19,234
排名变化10,221
7 天星标排名7,855
上次 7 天星标排名7,877
7 天星标排名变化22
总星标排名6,144
上次总星标排名6,139
总星标排名变化-5
国家Russia
README 摘录

LLMFarm The app is temporarily unavailable in TestFlight and Appstore. It allows you to load different LLMs with certain parameters. With LLMFarm, you can test the performance of different LLMs on iOS and macOS and find the most suitable model for your project. Features [x] MacOS (13+) [x] iOS (16+) [x] Various inferences [x] Various sampling methods [x] Metal (dont work on intel Mac) [x] Model setting templates [x] Restore context state [x] Apple Shortcuts [x] RAG Inferences [x] LLaMA

[x] Gemma [x] Phi [x] GPT2 + Cerebras [x] Starcoder(Santacoder) [x] Falcon [x] MPT [x] Bloom [x] StableLM-3b-4e1t [x] Qwen [x] Yi models [x] Deepseek models [x] Mixtral MoE [x] PLaMo-13B [x] Mamba [x] RWKV [x] GPTNeoX See full list here. 6 models [x] BakLLaVA [x] Obsidian [x] ShareGPT4V [x] MobileVLM 1. 7B/3B models [x] Yi-VL [x] Moondream 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 in model settings. Sampling methods [x] Temperature (temp, tok-k, top-p) [x] Tail Free Sampling (TFS) [x] Locally Typical Sampling [x] Mirostat [x] Greedy [x] Grammar Getting Started You can find answers to some questions in the FAQ section. Inference options When creating a chat, a JSON file is generated in which you can specify additional

inference options. The chat files are located in the "chats" directory. Models You can find some of the supported models here. Development has been moved to a separate repository. To build llmfarm, you need to clone this repository recursively: Also used sources from: rwkv. cpp by saharNooby Mia by byroneverson LlamaChat by alexrozanski swift-markdown-ui by gonzalezreal similarity-search-kit by ZachNagengast ❤️ Support project

常见问题

记录了多少星标和分叉?

guinmoon/LLMFarm 有 2,080 个星标和 186 个分叉。

仓库排名是多少?

guinmoon/LLMFarm 排名第 9,013。

记录的语言和类别是什么?

guinmoon/LLMFarm 有 2,080 个星标,语言为 C,类别为 Infrastructure。

哪个仓库排名最接近?

guinmoon/LLMFarm 与 vitoplantamura/OnnxStream 比较,后者排名第 9,008,有 2,088 个星标。

README

LLMFarm

The app is temporarily unavailable in TestFlight and Appstore.

                   

  


LLMFarm is an iOS and MacOS app to work with large language models (LLM). It allows you to load different LLMs with certain parameters.With LLMFarm, you can test the performance of different LLMs on iOS and macOS and find the most suitable model for your project.

Based on ggml and llama.cpp by Georgi Gerganov.

Features

Inferences

See full list here.

Multimodal

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 inference in model settings.

Sampling methods

Getting Started

You can find answers to some questions in the FAQ section.

Inference options

When creating a chat, a JSON file is generated in which you can specify additional inference options. The chat files are located in the "chats" directory. You can see all inference options here.

Models

You can find some of the supported models here.

Development

llmfarm_core has been moved to a separate repository. To build llmfarm, you need to clone this repository recursively:

git clone --recurse-submodules https://github.com/guinmoon/LLMFarm

Also used sources from:

❤️ Support project

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