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⚡️New "Thinking" UI with DeepSeek R1 Distilled models, running completely locally on iPhone

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Private LLM

3,904 subscribers

188,708 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 12

Фото профиля Private LLM
Private LLM1 год назад

Private LLM vs Ollama on a Laptop

Фото профиля UserInterface
UserInterface7 лет назад

The UIX Network is Live! Business & Social Networking 2.0. All the tools you need to get your $ right. By Us For Us. -It's for the people. #getoncode pls rt

Фото профиля Luis Yáñez
Luis Yáñez1 год назад

guys! that's awesome! I love it! but you really need to improve the UI of the text box! it's painfully simple 😜

Фото профиля Private LLM
Private LLM1 год назад

Thanks for your feedback! UX is definitely one of our top priorities – we have some nice improvements planned in our upcoming releases. Stay tuned! 😊

Фото профиля Poonam Soni
Poonam Soni1 год назад

DeepSeek R1 running locally on iPhone is mind blowing. Can't wait to try this.

Фото профиля Private LLM
Private LLM1 год назад

Join our Discord to get TestFlight access. 😀

Фото профиля dc
dc1 год назад

Is this using mlx and @UnslothAI version?

Фото профиля Private LLM
Private LLM1 год назад

@UnslothAI We don’t use MLX or GGUF because RTN quants don’t meet our standards. We quantize models with Omniquant and GPTQ ourselves and use mlc-llm as the inference engine.

Фото профиля open my old account Elon
open my old account Elon1 год назад

Do you think that it will work on M1 Pro?

Фото профиля Private LLM
Private LLM1 год назад

Of course. A 70B model needs at least 48GB of RAM, but an 8B model will work on any Apple Silicon Mac

Фото профиля Conwic
Conwic1 год назад

My toes can text faster, but local iPhone support is still a W.

Фото профиля Private LLM
Private LLM1 год назад

Mac app or DeepSeek R1 Distill Qwen 1.5B - both faster than toe-typing 😀

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