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Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

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Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#341

Nice, I think this is the second time I see this here on HN, I always wondered why we need to shove the entire model into memory, I don't care who King Charles is every single time. It always felt as though we already figured out how to break up large files and parse them efficiently with very little memory. Frontier AI feels like its full of people who are brilliant at making models, but when it comes to scale and p…

I don't care who King Charles is every single time that's the trick and a multi-billion dollar question, how would an llm engine know that? it's an active research area how to cull the initial layer surface and do the optimal traversal path through the layers and it's a damn hard problem. It's definitely an area where a ton of performance is left on the table still.

I have some ideas on how that specifically can be solved, but I've taken a stance to never give OpenAI or Anthropic any of my ideas for free. I am the most surprised that Google seems to be trailing behind them. I'm not sure if they're even taking this seriously anymore. I do appreciate the open models they do release on the other hand, I hope they never stop. I wish Microsoft would do more with Phi and similar.

Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#342

Earlier quoted context omitted.

I don't care who King Charles is every single time that's the trick and a multi-billion dollar question, how would an llm engine know that? it's an active research area how to cull the initial layer surface and do the optimal traversal path through the layers and it's a damn hard problem. It's definitely an area where a ton of performance is left on the table still.

I have some ideas on how that specifically can be solved, but I've taken a stance to never give OpenAI or Anthropic any of my ideas for free. I am the most surprised that Google seems to be trailing behind them. I'm not sure if they're even taking this seriously anymore. I do appreciate the open models they do release on the other hand, I hope they never stop. I wish Microsoft would do more with Phi and similar.

> I have some ideas on how that specifically can be solved

Write them in the margin of a book....

"It is impossible for a cube to be a sum of two cubes, a fourth power to be a sum of two fourth powers, or in general for any number that is a power greater than the second to be the sum of two like powers. I have discovered a truly remarkable proof, but this margin is too small to contain it."

Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#343

Earlier quoted context omitted.

I don't care who King Charles is every single time that's the trick and a multi-billion dollar question, how would an llm engine know that? it's an active research area how to cull the initial layer surface and do the optimal traversal path through the layers and it's a damn hard problem. It's definitely an area where a ton of performance is left on the table still.

I have some ideas on how that specifically can be solved, but I've taken a stance to never give OpenAI or Anthropic any of my ideas for free. I am the most surprised that Google seems to be trailing behind them. I'm not sure if they're even taking this seriously anymore. I do appreciate the open models they do release on the other hand, I hope they never stop. I wish Microsoft would do more with Phi and similar.

Email it to my gmail account. It's secure from prying eyes :)

Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#344

Earlier quoted context omitted.

I don't care who King Charles is every single time that's the trick and a multi-billion dollar question, how would an llm engine know that? it's an active research area how to cull the initial layer surface and do the optimal traversal path through the layers and it's a damn hard problem. It's definitely an area where a ton of performance is left on the table still.

The human analogy would be that I don’t remember everything in the books I have read, but I do recall reading a particular book and can always look it up. So, is there a way to train a neural network and then tune it forget a lot of the facts that can be easily retrieved, but keep the intelligence.

I read a lot in middle school and can't recall any of them. What books did you read in college? What books did you read in high school?Maybe you have photographic memory.

Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#346

> The measured result is a reference point, not a performance ceiling. Claude was here.

Okay, I’m the first to get annoyed at LLM-ese. But language requires the ability to say that something is A and not B. There are certain phrasings of that that are painfully Claude-esque, but ffs the one you quoted is the type of thing an actual human being is just as likely to say.

I don’t get why that construction is associated with Claude. I’ve never picked it up from reading Claude output.

As a English-as-a-second-language speaker I’ve been using that formation long before llm and it has legitimate usage

Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#348
post #346

Earlier quoted context omitted.

Okay, I’m the first to get annoyed at LLM-ese. But language requires the ability to say that something is A and not B. There are certain phrasings of that that are painfully Claude-esque, but ffs the one you quoted is the type of thing an actual human being is just as likely to say.

I don’t get why that construction is associated with Claude. I’ve never picked it up from reading Claude output. As a English-as-a-second-language speaker I’ve been using that formation long before llm and it has legitimate usage

Claude has a specific version that typically starts with “it’s” or even more often “that’s”. It takes the construction “That’s not a bug. It’s a feature.” and applies it to absolutely everything.

Re: Show HN: Open-source engine running Gemma 4 26B in 2 GB RAM on any M-series Mac

#349
post #268

Earlier quoted context omitted.

New macOS is bloatware that makes your computer slower

So install Asahi Linux?

Asahi is a very cool project, and worthwhile if someone goes into it well aware of the major tradeoffs they're making, including reduced hardware functionality and support, which is improving, and significantly degraded security, which will likely always be the case.

macOS is the only OS which fully supports M1 hardware and its security features. Please see Asahi Linux's documentation: https://asahilinux.org/docs/platform/feature-support/m1/#m1-...

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