# Private LLM 适用于 iPhone、iPad 和 Mac 的私密、无审查 AI 聊天 无云端，无跟踪，无登录。 [![Download on the App Store](/app-store/download-badge/zh-CN/download.svg)](/download)[ Discord0 位用户在线 ](/discord) [4.4·App Store 上的 1,604 个评分](/reviews) ## 在您的 iPhone、iPad 和 Mac 上离线运行 AI Private LLM 完全在您的 iPhone、iPad 或 Mac 上运行。您的对话永远不会离开设备，首次下载模型后无需联网。免账号、无追踪、零日志。一次购买即可在您拥有的所有 Apple 设备及家人共享群组中解锁该应用。 ![显示Private LLM应用程序界面的iPhone屏幕特写，输入文本提示的聊天界面，突出该应用的隐私保护和离线功能](/_astro/ios_prompt.q9DZ5858.webp) ## 本地运行 DeepSeek R1、Llama 3.3、Qwen3 和 Gemma 3 Private LLM 直接在您的 Apple 设备上运行领先的开源模型 - DeepSeek R1 Distill、Llama 3.3 70B、Qwen3 4B、Phi 4、Google Gemma 3 等。所有对话均保留在设备端，每个模型都经过内部量化处理，以在您的硬件上呈现最佳质量。 [为您的设备寻找最佳开源LLM](/zh-CN#models) ![Private LLM应用程序的iPhone截图，显示离线使用的大型语言模型（LLM）列表，展示多种模型名称和描述，强调其隐私和离线功能。](/_astro/downloadable_models_ios.BmHBJGeb.webp) ## Siri 和 Apple 快捷指令中的本地 AI - 无需代码 Private LLM 直接接入 Siri 和快捷指令应用。构建 AI 驱动的工作流，用于总结文本、生成文章，或将回复传输到支持 [x-callback-url 规范](https://x-callback-url.com/)的 70 多款应用中。无需代码。 [查看用户为 Private LLM 构建的 Apple 快捷指令](/zh-CN/community-shortcuts) ![显示Private LLM应用程序与Apple快捷方式集成的iPhone界面，展示个性化AI交互的无缝用户体验](/_astro/shortcuts.CRkFn8Aq.webp) ## 一次购买，无需订阅 - 支持六人家人共享 摆脱订阅的束缚，选择更聪明的Private LLM。一笔购买解锁iPhone、iPad和Mac上的应用，并支持家庭共享功能，最多可供六位亲属使用。这种方法不仅简化了访问，还提升了投资价值，让数字隐私和智能普及于您的家庭中。 ![macOS上Private LLM界面的截图，显示用户在文本输入字段中输入提示，准备接收本地语言模型的即时离线响应](/_astro/macos_prompt.DfGFHq6k.webp) ## 内置于 macOS 的 AI 写作工具 在任何 macOS 应用中选择任意文本，右键点击，Private LLM 即可对其进行重写、总结或纠错 - 完全在设备端运行。支持英语和主要西欧语言。 ![显示Private LLM在macOS系统级服务菜单中集成的截图。](/_astro/macos-service-menu.B1QmQmpp.webp) ## 由两名工程师打造，而非风投机构 Private LLM 由欧盟的两名工程师打造 - 独立自持，无风投融资，没有增长黑客路线图。我们是 App Store 上唯一采用 OmniQuant 和 GPTQ 量化的应用，其输出质量显著优于 Ollama 和 LM Studio 等 MLX 和 llama.cpp 包装应用所使用的 RTN 量化。我们只对用户负责，不对投资者负责 - 这就是为什么您的数据始终保留在设备端，并且永远如此。 ![显示Private LLM应用程序与Apple快捷方式集成的iPhone界面，展示个性化AI交互的无缝用户体验](/_astro/independent-devs.nPY4P8E5.png) 来自 App Store ## 来自 iPhone 和 Mac 用户的真实评论 > “This is a private AI app created by developers performing constant updates and not charging a subscription. That is rare nowadays! Bravo, looking forward to the updates as this continues to improve!” 🇺🇸8parental8 · App Store 评论 第 1 条评论，共 5 条 [阅读 App Store 评论](/reviews) ## OmniQuant 和 GPTQ 量化：更佳输出，更少内存 Private LLM 使用 [OmniQuant](https://arxiv.org/abs/2308.13137) 和 GPTQ 量化。当 LLM 被量化用于设备端推理时，异常权重值会损害文本生成质量。OmniQuant 通过基于优化的可学习裁剪机制来调节异常权重，从而将量化误差降至最低。GPTQ 使用近似二阶 (Hessian) 信息来最小化最重要权重上的重建误差。LM Studio 等基于 MLX 的应用所使用的仿射 RTN 量化，以及 Ollama 等基于 llama.cpp 的应用所使用的分块 RTN 变体，都跳过了这种逐权重的优化 - 这就是为什么这些应用在相同的 Apple 硬件上产生的输出质量较低。我们不断探索先进的量化方法，这是建立在第三方推理引擎上的包装应用无法承担的工作。OmniQuant 和 GPTQ 配合针对特定模型优化的 Metal 内核，让 Private LLM 能够在 Apple 硬件上提供既快速又高质量的文本生成。 [Private LLM与Ollama比较](/compare/ollama-vs-private-llm) ## 下载最佳开源LLM iOS ### 基于Qwen3 4B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Qwen3 4B Instruct 2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)[Qwen3 4B Instruct 2507 Abliterated (Uncensored)](https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated)[Josiefied Qwen3 4B Instruct 2507 (Uncensored)](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1)[Qwen3 4B Instruct 2507 Heretic (Uncensored)](https://huggingface.co/p-e-w/Qwen3-4B-Instruct-2507-heretic)[Qwen3 4B Instruct 2507 Heretic NoSlop (Uncensored)](https://huggingface.co/numen-tech/Qwen3-4B-Instruct-2507-heretic-noslop-GPTQ-Int4) ### 基于DeepSeek R1 Distill的模型 适用于配备 8GB+ RAM 的 iPhones/iPads [DeepSeek R1 Distill Llama 8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)[DeepSeek R1 Distill Qwen 7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)[DeepSeek R1 Distill Llama 8B Abliterated (Uncensored)](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated) ### 基于DeepSeek R1 Distill的模型 适用于配备 16GB+ RAM 的 iPhones/iPads [DeepSeek R1 Distill Qwen 14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) ### 基于Meta Llama 3.2 3B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Meta Llama 3.2 3B Instruct 🦙](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)[Llama 3.2 3B Instruct Abliterated 🦙 (Uncensored)](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated)[Llama 3.2 3B Instruct Uncensored 🦙](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)[Hermes 3 Llama 3.2 3B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B)[FuseChat Llama 3.2 3B Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.2-3B-Instruct)[Dolphin 3.0 Llama 3.2 3B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-3B) ### 基于Meta Llama 3.2 1B的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [Meta Llama 3.2 1B Instruct 🦙](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)[Llama 3.2 1B Instruct Abliterated 🦙 (Uncensored)](https://huggingface.co/huihui-ai/Llama-3.2-1B-Instruct-abliterated)[FuseChat Llama 3.2 1B Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.2-1B-Instruct)[Dolphin 3.0 Llama 3.2 1B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B) ### 基于Google Gemma 3 1B的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [Gemma 3 1B IT 💎](https://huggingface.co/google/gemma-3-1b-it)[Gemma 3 1B IT Abliterated (Uncensored)](https://huggingface.co/mlabonne/gemma-3-1b-it-abliterated)[Amoral Gemma 3 1B v2 (Uncensored)](https://huggingface.co/soob3123/amoral-gemma3-1B-v2) ### 基于Google Gemma 2 9B的模型 适用于配备 16GB+ RAM 的 iPhones/iPads [Gemma-2 9B IT 💎](https://huggingface.co/google/gemma-2-9b-it)[Gemma-2 9B IT SPPO Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)[Tiger Gemma 9B v3 🐅 (Uncensored)](https://huggingface.co/TheDrummer/Tiger-Gemma-9B-v3)[FuseChat Gemma 2 9B Instruct](https://huggingface.co/FuseAI/FuseChat-Gemma-2-9B-Instruct)[Gemma 2 Ifable 9B (Creative Writing)](https://huggingface.co/ifable/gemma-2-Ifable-9B) ### 基于Google Gemma 2 2B的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [Gemma-2 2B IT 💎](https://huggingface.co/google/gemma-2-2b-it)[SauerkrautLM Gemma-2 2B IT](https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-2b-it) ### 基于Meta Llama 3.1 8B的模型 适用于配备 8GB+ RAM 的 iPhones/iPads [Meta Llama 3.1 8B Instruct 🦙](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)[Meta Llama 3.1 8B Instruct Abliterated 🦙(Uncensored)](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated)[Hermes 3 Llama 3.1 8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)[FuseChat Llama 3.1 8B Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.1-8B-Instruct)[Llama 3.1 8B Lexi Uncensored V2 (Therapy/Role-Play)](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)[Dolphin 3.0 Llama 3.1 8B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B)[Meta Llama 3.1 8B Survive V3 (Survival Specialist)](https://huggingface.co/lolzinventor/Meta-Llama-3.1-8B-SurviveV3)[Llama 3.1 8B UltraMedical 🏥 (Biomedical)](https://huggingface.co/TsinghuaC3I/Llama-3.1-8B-UltraMedical) ### 基于Meta Llama 3 8B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Meta Llama 3 8B Instruct 🦙](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)[Meta Llama 3 8B Instruct Abliterated v3 (Uncensored)](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3)[NeuralDaredevil 8B Abliterated (Uncensored)](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated)[Llama 3 8B Instruct MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule)[Llama 3 WhiteRabbitNeo 8B v2.0](https://huggingface.co/WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0)[Hermes 2 Theta Llama 3 8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)[LLaMA3-iterative-DPO-final](https://huggingface.co/RLHFlow/LLaMA3-iterative-DPO-final)[Hathor\_Stable-v0.2-L3-8B](https://huggingface.co/Nitral-AI/Hathor_Stable-v0.2-L3-8B)[Openchat 3.6 8B 20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522)[Dolphin 2.9 Llama 3 8B (Uncensored) 🐬](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)[Llama 3 Smaug 8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)[Hermes 2 Pro Llama 3 8B ☤](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)[OpenBioLLM-8B 🧬 (Biomedical)](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)[L3 Umbral Mind RP v3.0 8B 🌓](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B)[Llama 3 Instruct 8B SPPO Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) ### 基于Qwen 2.5的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [Qwen 2.5 0.5B Unquantized](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)[Qwen 2.5 Coder 0.5B Unquantized](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct)[Dolphin 3.0 Qwen 2.5 0.5B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B)[Qwen 2.5 1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)[Qwen 2.5 Coder 1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)[EVA-D Qwen2.5 1.5B v0.0 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-D-Qwen2.5-1.5B-v0.0)[Dolphin 3.0 Qwen 2.5 1.5B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B)[Qwen 2.5 3B](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)[Qwen 2.5 Coder 3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct)[Dolphin 3.0 Qwen 2.5 3B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-3b) ### 基于Qwen 2.5的模型 适用于配备 8GB+ RAM 的 iPhones/iPads [Qwen 2.5 7B](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)[FuseChat Qwen 2.5 7B Instruct](https://huggingface.co/FuseAI/FuseChat-Qwen-2.5-7B-Instruct)[EVA Qwen2.5 7B v0.1 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1)[OpenHands LM 7B v0.1 (Coding)](https://huggingface.co/all-hands/openhands-lm-7b-v0.1) ### 基于Qwen 2.5的模型 适用于配备 8GB+ RAM 的 iPhones/iPads [Qwen 2.5 Coder 7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct) ### 基于Qwen 2.5 14B的模型 适用于配备 16GB+ RAM 的 iPhones/iPads [Qwen 2.5 Coder 14B](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct)[EVA Qwen2.5 14B v0.2 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) ### 基于Phi-3 Mini 3.8B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Phi-3 Mini 4K Instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)[Kappa-3 Phi Abliterated (Uncensored)](https://huggingface.co/failspy/kappa-3-phi-abliterated) ### 基于Google Gemma的模型 适用于配备 8GB+ RAM 的 iPhones/iPads [Gemma 2B IT 💎](https://huggingface.co/google/gemma-2b-it/)[Gemma 1.1 2B IT 💎](https://huggingface.co/google/gemma-1.1-2b-it) ### 基于Mistral 7B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Mistral 7B Instruct v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)[Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)[OpenHermes 2.5 Mistral 7B ☤](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)[Hermes 2 Pro Mistral 7B ☤](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B)[RakutenAI 7B Chat 🇯🇵](https://huggingface.co/Rakuten/RakutenAI-7B-chat)[openchat-3.5-0106 7B 💬](https://huggingface.co/openchat/openchat-3.5-0106)[CodeNinja 1.0 OpenChat 7B 🥷](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B)[Starling LM 7B Beta 🐤](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)[Dolphin 2.8 Mistral 7B v0.2 (Uncensored) 🐬](https://huggingface.co/cognitivecomputations/dolphin-2.8-mistral-7b-v02)[DictaLM 2.0 Instruct 🇮🇱](https://huggingface.co/dicta-il/dictalm2.0-instruct) ### 基于Llama 2 7B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Airoboros l2 7b 3.0](https://huggingface.co/jondurbin/airoboros-l2-7b-3.0)[Spicyboros 7b 2.2 🌶️](https://huggingface.co/jondurbin/spicyboros-7b-2.2) ### 基于Phi-2 3B的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [Phi-2 Orange 🍊](https://huggingface.co/rhysjones/phi-2-orange)[Dolphin 2.6 Phi-2 (Uncensored) 🐬](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2)[Phi-2 Super 🤖](https://huggingface.co/abacaj/phi-2-super)[Phi-2 Orange v2 🍊](https://huggingface.co/rhysjones/phi-2-orange-v2) ### 基于H2O Danube的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [H2O Danube 1.8B Chat](https://huggingface.co/h2oai/h2o-danube-1.8b-chat) ### 基于StableLM 3B的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [StableLM 2 Zephyr 1.6B 🪁](https://huggingface.co/stabilityai/stablelm-2-zephyr-1_6b)[Nous-Capybara-3B V1.9](https://huggingface.co/NousResearch/Nous-Capybara-3B-V1.9)[Rocket 3B 🚀](https://huggingface.co/pansophic/rocket-3B) ### 基于TinyLlama 1.1B的模型 适用于配备 4GB+ RAM 的 iPhones/iPads [TinyLlama 1.1B Chat 🦙](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)[TinyDolphin 2.8 1.1B Chat 🐬](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8-1.1b) ### 基于Yi 6B的模型 适用于配备 6GB+ RAM 的 iPhones/iPads [Yi 6B Chat 🇨🇳](https://huggingface.co/01-ai/Yi-6B-Chat) macOS ### 基于DeepSeek R1 Distill的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [DeepSeek R1 Distill Llama 8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B)[DeepSeek R1 Distill Llama 8B Abliterated (Uncensored)](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated)[DeepSeek R1 Distill Qwen 7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B)[DeepSeek R1 Distill Qwen 14B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-14B) ### 基于DeepSeek R1 Distill的模型 适用于配备 32GB+ RAM 的 Apple Silicon Macs [Fuse O1 DeepSeek R1 QwQ SkyT1 32B](https://huggingface.co/FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview)[DeepSeek R1 Distill Qwen 32B Abliterated (Uncensored)](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated) ### 基于DeepSeek R1 Distill的模型 适用于配备 48GB+ RAM 的 Apple Silicon Macs [DeepSeek R1 Distill Llama 70B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-70B)[R1 1776 Distill Llama 70B](https://huggingface.co/perplexity-ai/r1-1776-distill-llama-70b) ### 基于Google Gemma 3 1B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Gemma 3 1B IT 💎](https://huggingface.co/google/gemma-3-1b-it)[Gemma 3 1B IT Abliterated (Uncensored)](https://huggingface.co/mlabonne/gemma-3-1b-it-abliterated)[Amoral Gemma 3 1B v2 (Uncensored)](https://huggingface.co/soob3123/amoral-gemma3-1B-v2) ### 基于Phi-4 14B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [Phi-4](https://huggingface.co/microsoft/phi-4) ### 基于Meta Llama 3.3 70B的模型 适用于配备 48GB+ RAM 的 Apple Silicon Macs [Meta Llama 3.3 70B Instruct 🦙](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)[Llama 3.3 70B Instruct Abliterated (Uncensored)](https://huggingface.co/huihui-ai/Llama-3.3-70B-Instruct-abliterated)[EVA LLaMA 3.33 70B v0.1 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-LLaMA-3.33-70B-v0.1)[Llama 3.3 70B Euryale v2.3 (Role-Play/Story Writing)](https://huggingface.co/Sao10K/L3.3-70B-Euryale-v2.3) ### 基于Meta Llama 3.2 3B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Meta Llama 3.2 3B Instruct 🦙](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)[Dolphin 3.0 Llama 3.2 3B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-3B)[Llama 3.2 3B Instruct Abliterated 🦙 (Uncensored)](https://huggingface.co/huihui-ai/Llama-3.2-3B-Instruct-abliterated)[Llama 3.2 3B Instruct Uncensored 🦙](https://huggingface.co/chuanli11/Llama-3.2-3B-Instruct-uncensored)[Hermes 3 Llama 3.2 3B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.2-3B)[FuseChat Llama 3.2 3B Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.2-3B-Instruct) ### 基于Meta Llama 3.2 1B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Meta Llama 3.2 1B Instruct 🦙](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct)[Dolphin 3.0 Llama 3.2 1B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.2-1B)[Llama 3.2 1B Instruct Abliterated 🦙 (Uncensored)](https://huggingface.co/huihui-ai/Llama-3.2-1B-Instruct-abliterated)[FuseChat Llama 3.2 1B Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.2-1B-Instruct) ### 基于Meta Llama 3.1 70B的模型 适用于配备 64GB+ RAM 的 Apple Silicon Macs [Meta Llama 3.1 70B Instruct 🦙](https://huggingface.co/meta-llama/Meta-Llama-3.1-70B-Instruct) ### 基于Meta Llama 3.1 8B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Meta Llama 3.1 8B Instruct 🦙](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct)[Meta Llama 3.1 8B Instruct Abliterated 🦙(Uncensored)](https://huggingface.co/mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated)[Hermes 3 Llama 3.1 8B](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)[FuseChat Llama 3.1 8B Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.1-8B-Instruct)[Llama 3.1 8B Lexi Uncensored V2 (Therapy/Role-Play)](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)[Dolphin 3.0 Llama 3.1 8B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Llama3.1-8B)[Meta Llama 3.1 8B Survive V3 (Survival Specialist)](https://huggingface.co/lolzinventor/Meta-Llama-3.1-8B-SurviveV3)[Llama 3.1 8B UltraMedical 🏥 (Biomedical)](https://huggingface.co/TsinghuaC3I/Llama-3.1-8B-UltraMedical) ### 基于Qwen 2.5的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Qwen 2.5 0.5B Unquantized](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)[Qwen 2.5 1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct)[Qwen 2.5 3B](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct)[Qwen 2.5 7B](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct)[Qwen 2.5 Coder 0.5B Unquantized](https://huggingface.co/Qwen/Qwen2.5-Coder-0.5B-Instruct)[Qwen 2.5 Coder 1.5B](https://huggingface.co/Qwen/Qwen2.5-Coder-1.5B-Instruct)[Qwen 2.5 Coder 3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct)[Qwen 2.5 Coder 7B](https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct)[FuseChat Qwen 2.5 7B Instruct](https://huggingface.co/FuseAI/FuseChat-Qwen-2.5-7B-Instruct)[EVA-D Qwen2.5 1.5B v0.0 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-D-Qwen2.5-1.5B-v0.0)[EVA Qwen2.5 7B v0.1 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1)[Dolphin 3.0 Qwen 2.5 0.5B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-0.5B)[Dolphin 3.0 Qwen 2.5 1.5B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-1.5B)[Dolphin 3.0 Qwen 2.5 3B 🐬 (Uncensored)](https://huggingface.co/cognitivecomputations/Dolphin3.0-Qwen2.5-3b) ### 基于Qwen 2.5 14B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [Qwen 2.5 Coder 14B](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct)[EVA Qwen2.5 14B v0.2 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2) ### 基于Qwen3 4B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [Qwen3 4B Instruct 2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)[Qwen3 4B Instruct 2507 Abliterated (Uncensored)](https://huggingface.co/huihui-ai/Huihui-Qwen3-4B-Instruct-2507-abliterated)[Josiefied Qwen3 4B Instruct 2507 (Uncensored)](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-gabliterated-v1)[Qwen3 4B Instruct 2507 Heretic (Uncensored)](https://huggingface.co/p-e-w/Qwen3-4B-Instruct-2507-heretic)[Qwen3 4B Instruct 2507 Heretic NoSlop (Uncensored)](https://huggingface.co/numen-tech/Qwen3-4B-Instruct-2507-heretic-noslop-GPTQ-Int4) ### 基于Qwen 2.5 32B的模型 适用于配备 24GB+ RAM 的 Apple Silicon Macs [Qwen 2.5 32B](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct)[Qwen 2.5 Coder 32B](https://huggingface.co/Qwen/Qwen2.5-Coder-32B-Instruct)[EVA Qwen2.5 32B v0.2 (Role-Play/Story Writing)](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-32B-v0.2)[OpenHands LM 32B v0.1 (Coding)](https://huggingface.co/all-hands/openhands-lm-32b-v0.1) ### 基于Google Gemma 2 9B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [Gemma-2 9B IT 💎](https://huggingface.co/google/gemma-2-9b-it)[Gemma-2 9B IT SPPO Iter3](https://huggingface.co/UCLA-AGI/Gemma-2-9B-It-SPPO-Iter3)[Tiger Gemma 9B v3 🐅 (Uncensored)](https://huggingface.co/TheDrummer/Tiger-Gemma-9B-v3)[FuseChat Gemma 2 9B Instruct](https://huggingface.co/FuseAI/FuseChat-Gemma-2-9B-Instruct)[Gemma 2 Ifable 9B (Creative Writing)](https://huggingface.co/ifable/gemma-2-Ifable-9B) ### 基于Google Gemma 2 2B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Gemma-2 2B IT 💎](https://huggingface.co/google/gemma-2-2b-it)[SauerkrautLM Gemma-2 2B IT](https://huggingface.co/VAGOsolutions/SauerkrautLM-gemma-2-2b-it) ### 基于Meta Llama 3 70B的模型 适用于配备 48GB+ RAM 的 Apple Silicon Macs [Meta Llama 3 70B Instruct 🦙](https://huggingface.co/meta-llama/Meta-Llama-3-70B)[Smaug Llama 3 70B Instruct](https://huggingface.co/abacusai/Smaug-Llama-3-70B-Instruct)[Smaug Llama 3 70B Instruct Abliterated v3 (Uncensored)](https://huggingface.co/failspy/Smaug-Llama-3-70B-Instruct-abliterated-v3)[Cat Llama 3 70B Instruct](https://huggingface.co/turboderp/Cat-Llama-3-70B-instruct) ### 基于Meta Llama 3 8B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Meta Llama 3 8B Instruct 🦙](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)[Meta Llama 3 8B Instruct Abliterated v3 (Uncensored)](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3)[NeuralDaredevil 8B Abliterated (Uncensored)](https://huggingface.co/mlabonne/NeuralDaredevil-8B-abliterated)[Llama 3 8B Instruct MopeyMule](https://huggingface.co/failspy/Llama-3-8B-Instruct-MopeyMule)[Llama 3 WhiteRabbitNeo 8B v2.0](https://huggingface.co/WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0)[Hermes 2 Theta Llama 3 8B](https://huggingface.co/NousResearch/Hermes-2-Theta-Llama-3-8B)[LLaMA3-iterative-DPO-final](https://huggingface.co/RLHFlow/LLaMA3-iterative-DPO-final)[Hathor\_Stable-v0.2-L3-8B](https://huggingface.co/Nitral-AI/Hathor_Stable-v0.2-L3-8B)[Openchat 3.6 8B 20240522](https://huggingface.co/openchat/openchat-3.6-8b-20240522)[Dolphin 2.9 Llama 3 8B (Uncensored) 🐬](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b)[Llama 3 Smaug 8B](https://huggingface.co/abacusai/Llama-3-Smaug-8B)[Hermes 2 Pro Llama 3 8B ☤](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B)[OpenBioLLM-8B 🧬 (Biomedical)](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B)[L3 Umbral Mind RP v3.0 8B 🌓](https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B)[Llama 3 Instruct 8B SPPO Iter3](https://huggingface.co/UCLA-AGI/Llama-3-Instruct-8B-SPPO-Iter3) ### 基于Phi-3 Mini 3.8B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Phi-3 Mini 4K Instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct)[Kappa-3 Phi Abliterated (Uncensored)](https://huggingface.co/failspy/kappa-3-phi-abliterated) ### 基于Google Gemma的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Gemma 2B IT 💎](https://huggingface.co/google/gemma-2b-it/)[Gemma 1.1 2B IT 💎](https://huggingface.co/google/gemma-1.1-2b-it) ### 基于Mixtral 8x7B的模型 适用于配备 32GB+ RAM 的 Apple Silicon Macs [Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)[Dolphin 2.6 Mixtral 8x7B 🐬](https://huggingface.co/cognitivecomputations/dolphin-2.6-mixtral-8x7b)[Nous Hermes 2 Mixtral 8x7B DPO ☤](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO) ### 基于Llama 33B的模型 适用于配备 24GB+ RAM 的 Apple Silicon Macs [WizardLM 33B v1.0 (Uncensored)](https://huggingface.co/cognitivecomputations/WizardLM-33B-V1.0-\(Uncensored\)) ### 基于Llama 2 13B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [Wizard LM 13B](https://huggingface.co/WizardLM/WizardLM-13B-V1.2)[Spicyboros 13B 🌶️](https://huggingface.co/jondurbin/spicyboros-13b-2.2)[Synthia 13B 1.2](https://huggingface.co/migtissera/Synthia-13B-v1.2)[XWin-LM-13B](https://huggingface.co/Xwin-LM/Xwin-LM-13B-V0.1)[Mythomax L2 13B](https://huggingface.co/Gryphe/MythoMax-L2-13b) ### 基于CodeLlama 13B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [WhiteRabbitNeo-13B-v1](https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-13B-v1) ### 基于Llama 2 7B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [airoboros-l2-7b-3.0](https://huggingface.co/jondurbin/airoboros-l2-7b-3.0)[Spicyboros 7b 2.2 🌶️](https://huggingface.co/jondurbin/spicyboros-7b-2.2)[Xwin-LM-7B v0.1](https://huggingface.co/Xwin-LM/Xwin-LM-7B-V0.1) ### 基于Solar 10.7B的模型 适用于配备 16GB+ RAM 的 Apple Silicon Macs [Nous-Hermes-2-SOLAR-10.7B ☤](https://huggingface.co/NousResearch/Nous-Hermes-2-SOLAR-10.7B) ### 基于Phi-2 3B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Phi-2 Orange 🍊](https://huggingface.co/rhysjones/phi-2-orange)[Phi-2 Orange Version 2 🍊](https://huggingface.co/rhysjones/phi-2-orange-v2)[Dolphin 2.6 Phi-2 (Uncensored) 🐬](https://huggingface.co/cognitivecomputations/dolphin-2_6-phi-2) ### 基于Mistral 7B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Mistral 7B Instruct v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3)[Mistral 7B Instruct v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)[Mistral Instruct v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1)[Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)[Zephyr 7B Beta 🪁](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)[Leo Mistral Hessian AI 7B 🇩🇪](https://huggingface.co/LeoLM/leo-mistral-hessianai-7b-chat/tree/main)[Jackalope 7B](https://huggingface.co/openaccess-ai-collective/jackalope-7b)[Dolphin 2.1 Mistral (Uncensored) 🐬](https://huggingface.co/cognitivecomputations/dolphin-2.1-mistral-7b)[Samantha 1.2 Mistral](https://huggingface.co/cognitivecomputations/samantha-1.2-mistral-7b)[OpenHermes 2 Mistral ☤](https://huggingface.co/teknium/OpenHermes-2-Mistral-7B)[SynthIA 7B 2.0](https://huggingface.co/migtissera/SynthIA-7B-v2.0)[Airoboros M 7B](https://huggingface.co/jondurbin/airoboros-m-7b-3.1.2)[Mistral Trismegistus 7B](https://huggingface.co/teknium/Mistral-Trismegistus-7B)[Cerbero 7B 🇮🇹](https://huggingface.co/galatolo/cerbero-7b)[openchat-3.5-0106 7B](https://huggingface.co/openchat/openchat-3.5-0106)[CodeNinja 1.0 OpenChat 7B 🥷](https://huggingface.co/beowolx/CodeNinja-1.0-OpenChat-7B)[BioMistral 7B 🧬 (Biomedical)](https://huggingface.co/BioMistral/BioMistral-7B)[Nous-Hermes-2-Mistral-7B-DPO ☤](https://huggingface.co/NousResearch/Nous-Hermes-2-Mistral-7B-DPO)[Merlinite 7B 🧙](https://huggingface.co/ibm/merlinite-7b)[RakutenAI 7B Chat 🇯🇵](https://huggingface.co/Rakuten/RakutenAI-7B-chat)[Starling LM 7B Beta 🐤](https://huggingface.co/Nexusflow/Starling-LM-7B-beta)[DictaLM 2.0 Instruct 🇮🇱](https://huggingface.co/dicta-il/dictalm2.0-instruct) ### 基于StableLM 3B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [StableLM Zephyr 3B 🪁](https://huggingface.co/stabilityai/stablelm-zephyr-3b) ### 基于Yi 6B的模型 适用于配备 8GB+ RAM 的 Apple Silicon Macs [Yi 6B Chat 🇨🇳](https://huggingface.co/01-ai/Yi-6B-Chat) ### 基于Yi 34B的模型 适用于配备 24GB+ RAM 的 Apple Silicon Macs [Yi 34B Chat 🇨🇳](https://huggingface.co/01-ai/Yi-34B-Chat) 我们能帮您什么？ 无论您有任何问题或在使用Private LLM时遇到困难，我们都在这里为您提供帮助。只需填写以下表单，我们会尽快回复您。 姓名 邮箱 我们如何协助您？一般咨询技术问题或漏洞报告反馈或建议 选择您的平台iOSiPadOSmacOS 设备型号 信息 发送