便携式AI模型介绍
现在，您可以将强大的AI模型随身携带。这款名为USB-Uncensored-LLM的开源项目，将Gemma、Qwen等大型模型压缩至U盘中，无论插入哪台电脑，都能立即运行。
跨平台兼容性
该项目支持Windows、Mac和Linux操作系统，无需联网即可使用，非常适合需要离线操作的用户。
持久保存聊天记录
此外，该模型还能实现聊天记录的持久保存，方便用户随时回顾。
节省空间，一次下载，多平台共用
最令人惊喜的是，模型只需下载一次，即可在多个平台上使用，有效节省了存储空间。
适用场景
这款便携式AI模型非常适合需要频繁移动的用户，如出差、旅行等，让您随时随地享受AI带来的便利。
📂 资源目录
📁 Shared
📁 models
📁 ollama_data
📁 blobs
sha256-327afee83a36cd76814e3dd36fc62cb306ffcff164b4f55f1dbe7317d690fb82 [7.0 GB]
sha256-f9dbbe3bdf396f65aec4e801516a1b868a510d96225417a8aa06763e3c5b97dc [5.0 GB]
sha256-e4165e3a71af97f1b4820da61079826d8752a2088e313af0c7d346796c38eff5 [2.2 GB]
sha256-7dcc6b844c309701ddcb20642d5729736a04c70cf10fdd6b3c0653b16eb649f4 [4.6 GB]
sha256-5f0264dd8197b8f96b6f363461cc9d5b7ad49284d2849c68942f43109a1252c4 [1.6 GB]
sha256-2ca636d9e81d3d23ca9b60c234fe185d30ec082eeba69ce770fdb0c76559a4f5 [5.2 GB]
sha256-fecea97aabf73e029b838b3f0e238c1666008609c077da5f23bb261d904bf883 [95.0 B]
sha256-fa732a7b7417882f51db8c0d51c30736ec4d0c342f1b4a914f2a2510c39e76ee [415.0 B]
sha256-fc1e58e4228533de6719ed421f06dd0b46c43680294c9cf102d8c28e4b631817 [221.0 B]
sha256-f4338c9d6dd1a72532cdc0865b28235204f10d60a2559f2405560c9065c78f04 [414.0 B]
sha256-d9a73a120d9b3401248ef72aceebebd1b70a7807e2799b753e76acb1bfc5a786 [89.0 B]
sha256-f1278e395d52956290ac6638fec872f9c48874811d1c7fc3b0a880c432101d87 [453.0 B]
sha256-d296180706e41438407fcd92a218780b629a394b821356f78f1316a2f23b5da8 [292.0 B]
sha256-b9c85fb5caf466551c444a3c59e72f750a297d312be0890add33cb1b5bfbdddc [61.0 B]
sha256-b3bddd6eb36557a862498d4fa8b1ab908ff42b29d3f06c78234c7f0a9073c76a [489.0 B]
sha256-8b498193aa0ed9aecf3ee6eb47a2d3bc7caafe41605fbf45563a9d9357ea8040 [487.0 B]
sha256-728946e61b133a77330d74c0bcfd4fa9594c04b1c78f9b89494f73c065da08a7 [411.0 B]
sha256-655e6a1f5e4a106074e136d550cb8a95e47a92cb2aa2fc2d822634c3429e950e [32.0 B]
sha256-2582b67018c33e317e253643924f1d602c9bc3a9a20e4b27e7eba2ed0dcab904 [230.0 B]
sha256-f02dd72bb2423204352eabc5637b44d79d17f109fdb510a7c51455892aa2d216 [59.0 B]
sha256-0a9fc9cbbb3ca48d1a742cd455ed94f0fd2d325ae845568b0a08f0adae3eef85 [72.0 B]
sha256-e3b2721cec511e3a627ae0993753abbf5c72cdf4cfcdbc8f5c33ce15c4c4e04b [102.0 B]
sha256-4ea0df93422f8340a23cbb30feb814196a03aed2e1d97382b6529fad7c541f79 [445.0 B]
sha256-2490e7468436707d5156d7959cf3c6341cc46ee323084cfa3fcf30fe76e397dc [65.0 B]
📁 manifests
📁 registry.ollama.ai
📁 library
📁 nemomix-local
latest [828.0 B]
📁 phi3-local
latest [827.0 B]
📁 qwen-9b-uncensored-local
latest [828.0 B]
📁 gemma-heretic-local
latest [828.0 B]
📁 gemma2-2b-local
latest [976.0 B]
📁 dolphin-local
latest [976.0 B]
NemoMix-Unleashed-12B-Q4_K_M.gguf [7.0 GB]
Phi-3.5-mini-instruct-Q4_K_M.gguf [2.2 GB]
Qwen3.5-9B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf [5.2 GB]
gemma-4-E4B-it-ultra-uncensored-heretic-Q4_K_M.gguf [5.0 GB]
dolphin-2.9-llama3-8b-Q4_K_M.gguf [4.6 GB]
gemma-2-2b-it-abliterated-Q4_K_M.gguf [1.6 GB]
Modelfile-gemma-heretic-local [338.0 B]
Modelfile-qwen-9b-uncensored-local [411.0 B]
Modelfile-nemomix-local [320.0 B]
Modelfile-phi3-local [171.0 B]
Modelfile-gemma2-2b-local [395.0 B]
Modelfile [395.0 B]
Modelfile-dolphin-local [329.0 B]
installed-models.txt [325.0 B]
📁 Shared
FastChatUI.html [42.9 KB]
chat_server.py [20.8 KB]
📁 bin
ollama-windows.exe [39.2 MB]
📁 chat_data
chats.json [131.0 B]
settings.json [40.0 B]
chat_server.py [20.8 KB]
FastChatUI.html [42.9 KB]
📁 usb llm
install-core.ps1 [24.1 KB]
install.bat [950.0 B]
start-fast-chat.bat [3.5 KB]