Private LLM - Local AI Chatbot

Secure Private AI Chatbot

Разработчик: Numen Technologies
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Discover the Ultimate Privacy-Focused AI Assistant on iOS: Private LLM
Unlock a new realm of productivity and creativity on your iPhone and iPad with Private LLM, the premier AI assistant designed with your privacy in mind. Available for a one-time purchase, it offers a range of AI capabilities without needing a subscription. Experience advanced on-device AI that keeps your interactions confidential and offline.
Why Private LLM is Your Go-To AI Companion:
- Exclusive AI Model Selection: Choose from a diverse set of open-source LLM models optimized for performance and perplexity on iOS with state of the art OmniQuant quantization: including models from Llama 3.2, Llama 3.1, Google Gemma 2, Microsoft Phi-3, Mistral 7B, StableLM 3B and many more. Whether you need help with creative brainstorming, coding, or daily questions, customize your AI experience to meet your unique needs.
- Integrated with Siri & Shortcuts: Enhance your AI interactions with Siri commands and customizable Shortcuts. Private LLM seamlessly fits within your Apple ecosystem, making your digital assistant more accessible.
- Customizable Interactions: Tailor your AI's responses and interactions with customizable system prompts to match your preferences and needs.
- Uncompromised Privacy and Security: With Private LLM, your conversations stay confidential and on your device. Our advanced on-device AI performs robust computing without risking data compromise or needing an internet connection.
- Family Sharing & Offline Capabilities: Benefit from a one-time purchase that includes Family Sharing. Download models as needed and enjoy the full functionality of your AI assistant, even without internet access.
Supported LLM Model families:
- Qwen 2.5 Based Models (0.5B, 1.5B, 3B and 7B)
- Qwen 2.5 Coder Based Models (0.5B, 1.5B, 3B, 7B and 14B)
- Phi-3 Based Models
- Llama 3.1 8B Based Models
- Llama 3.2 1B and 3B Based Models
- Google Gemma 2 2B and 9B Based Models
- Mistral 7B Based Models
- Yi 6B Based Models
- Phi 2 3B Based Models
- StableLM 3B Based Models
- TinyLlama 1.1B Based Models
- H2O Danube Based Models
For a full list of supported models, including detailed specifications, please visit privatellm.app/models.
Private LLM is not just a chatbot; it's a comprehensive AI companion designed to respect your privacy while providing versatile, on-demand assistance. Whether you're enhancing your creative writing, tackling complex programming challenges, or just seeking answers, Private LLM adapts to meet your needs while keeping your data secure. Start your journey with Private LLM today and elevate your productivity and creative projects with the most private AI assistant for iOS devices.
Private LLM is a better alternative to generic llama.cpp and MLX wrappers apps like Ollama, LLM Farm, LM Studio, RecurseChat, etc on three fronts:
1. Private LLM uses a faster mlc-llm based inference engine.
2. All models in Private LLM are quantised using the state of the art OmniQuant quantization algorithm, while competing apps use naive round-to-nearest quantization.
3. Private LLM is a fully native app built using C++, Metal and Swift, while many of the competing apps are (bloated) Electron based apps.
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Private LLM Частые Вопросы

  • Приложение Private LLM бесплатное?

    Private LLM не является бесплатным (стоимость составляет 9.99), однако оно не содержит встроенных покупок или подписок.

  • Является ли Private LLM фейковым или мошенническим?

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  • Сколько стоит Private LLM?

    Цена Private LLM составляет 9.99.

  • Сколько зарабатывает Private LLM?

    Чтобы получить оценку дохода приложения Private LLM и другие данные AppStore, вы можете зарегистрироваться на платформе мобильной аналитики AppTail.

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Private LLM Установки

30дн.

Private LLM Доход

30дн.

Private LLM Доходы и Загрузки

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Информация о приложении

Категория
Productivity
Разработчик
Numen Technologies
Языки
English
Последнее обновление
1.9.4 (1 неделю назад )
Выпущено
Jun 5, 2023 (1 год назад )
Обновлено
1 неделю назад
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