Re: Can anyone get Edge Copilot to work without logging in after July 2026?

Maria Sophia <[email protected]> wrote:
> Chris wrote:
>> Maria Sophia <[email protected]> wrote:
>>> Can anyone get Edge Copilot to work without logging in after July 2026?
>>> https://copilot.microsoft.com/
>>> 
>> 
>> Just use a local model and don't bother with any of the online ones. They
>> will *always* use you as training data unless you pay for a firewalled
>> model. Doesn't matter whether you login or not.
> 
> Thanks for that idea, which, I agree, is the best way to run an LLM.
> 
> I researched the local models and they're perfect except... except that
> they take a ton of disk space and seem to require a beefy machine.
> 
> Dunno if my 2009 Windows 10 desktop can handle a local model but I do agree
> that's the way to go for someone like me who cares about privacy.
> 
> I'll have to look into it 'cuz these web-page LLMs have gotten me hooked on
> the convenience, but, one by one, they've each started requiring a login. 

Well, then. Looks like you're going to have put a price on your desire for
"privacy". 

> Looking it up, while other families exist (e.g., Qwen, DeepSeek, Gemma,
> Mistral), apparently Llama remains the most widely used on Windows.
> 
> Disk space needed seems to be about 3-7 GB for an 8 billion parameters LLM
> model, and maybe around 30-40 GB for a 70 billion parameters LLM model.
> 
> Parameters are the learned weights inside the neural network, where more
> parameters add deeper reasoning and stronger language ability.	
> 
> Apparently disk space depends on quantization (i.e., compression) though.
> 
> Looking it up... 
> The big problem is RAM where 64¡V128 GB RAM is normal for local LLMs.
> The GPU needs to have VRAM starting at around 48 GB for local LLMs too.
> 
> Apparently nost consumer GPUs (RTX 3060/3070/3080/4070/4080) will not work
> as we need workstation-class cards (i.e., RTX 6000 Ada, A100, H100, etc.).

Lol no. That's the spec for *training* an LLM. Running an LLM requires a
lot less.