The (hn) title is misleading (unlike the actual title): It's an LLM _App_ not an LLM.
Ensu – Ente’s Local LLM app
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Re: Ensu – Ente’s Local LLM app
#32> This is not the beginning, nor is this the end. This is just a checkpoint.
Come onnnnnn. I would rather read a one line "Check out our offline llm" rather than a whole press release of slop.
This looks very neat. I'm not familiar with the nitty gritty of AI so I really don't understand how it can reply so quickly running on an iPhone 16. But I'm not even going to bother searching for details because I don't want to read slop.
Re: Ensu – Ente’s Local LLM app
#33There is also another app called Off Grid, which lets you run any model from Hugging Face (of course you need to choose one your phone can handle).
Re: Ensu – Ente’s Local LLM app
#34if you are into local LLMs check out apfel https://github.com/Arthur-Ficial/apfel Apple Ai on the command line
I've been having fun with this one https://github.com/osaurus-ai/osaurus
Re: Ensu – Ente’s Local LLM app
#35Earlier quoted context omitted.
You can see what it uses here - https://github.com/ente-io/ente/blob/main/web/apps/ensu/src/... Either LFM2.5-1.6B-4bit or Qwen3.5-2B-8bit or Qwen3.5-4B-4bit
Huh, 1.6B/2B/4B models, I guess they weren't joking when they said "not as powerful as ChatGPT or Claude Code". Also unsure why they said "Claude Code", it's not an CLI agent AFAIK?
This seems to be a general chat app, but otherwise small models can be very effective within the right use cases and orchestration.
Re: Ensu – Ente’s Local LLM app
#36This sounds like an ad.
As do most of the associated comments. I think we're surrounded by bots.
Re: Ensu – Ente’s Local LLM app
#37How is this any different from Ollama plus Open Web UI?
Re: Ensu – Ente’s Local LLM app
#38[flagged]
Re: Ensu – Ente’s Local LLM app
#39Earlier quoted context omitted.
Huh, 1.6B/2B/4B models, I guess they weren't joking when they said "not as powerful as ChatGPT or Claude Code". Also unsure why they said "Claude Code", it's not an CLI agent AFAIK?
This seems to be a general chat app, but otherwise small models can be very effective within the right use cases and orchestration.
> otherwise small models can be very effective within the right use cases and orchestration
very limited amount of use cases, perhaps. As a generalized chat assistant? I'm not sure you'd be able to get anything of value out from them, but happy to be proven otherwise. I have all of those locally already, without fine-tuning, what use case could I try right now where any of those are "very effective"?