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

Private LLM

3,904 subscribers

188,708 views • 1 year ago •via X (Twitter)

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12 Comments

Private LLM1 year ago

Private LLM vs Ollama on a Laptop

UserInterface7 years ago

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

Luis Yáñez1 year ago

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

Private LLM1 year ago

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

Poonam Soni1 year ago

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

Private LLM1 year ago

Join our Discord to get TestFlight access. 😀

dc1 year ago

Is this using mlx and @UnslothAI version?

Private LLM1 year ago

@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.

open my old account Elon1 year ago

Do you think that it will work on M1 Pro?

Private LLM1 year ago

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

Conwic1 year ago

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

Private LLM1 year ago

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

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