Hacker News: anana_

New comment by anana_ in "Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?"

anana_ — Mon, 15 Jun 2026 18:40:06 +0000

Unfortunately on Strix Halo or any similar unified memory set up, dense models are gonna be dirt slow due to the tiny memory bandwidth... But I agree, 27B is superior.

New comment by anana_ in "Ask HN: Has anyone replaced Claude/GPT with a local model for daily coding?"

anana_ — Mon, 15 Jun 2026 18:38:06 +0000

Perhaps try a different model? Just from anecdotal experience, I find that the Gemma models smaller than 31B do not tool call as often as they should.

Some of the benchmarks appear to back this up [0]

Of course, a lot depends how you are using it (inference parameters, harness, prompting, etc.), but the model is quite important too.

[0]: https://artificialanalysis.ai/models/open-source/small?model...

New comment by anana_ in "CrankGPT"

anana_ — Mon, 15 Jun 2026 18:09:43 +0000

I have one too and it never occurred to me to use it for anything other than games. Would be interested in seeing how you did it!

New comment by anana_ in "LinkedIn is scanning browser extensions"

anana_ — Thu, 30 Apr 2026 22:22:24 +0000

They do now - https://support.mozilla.org/en-US/kb/use-sidebar-access-tool...

New comment by anana_ in "Kimi K2.6: Advancing open-source coding"

anana_ — Mon, 20 Apr 2026 18:35:06 +0000

Hypothesizing here, but maybe the idea is sort of a form of technological/economic warfare? Releasing performance equivalent yet more cost efficient open weight models should in theory drive the cost of inference down everywhere.

This I assume will make it more difficult for US AI labs to turn a profit, which might make investors question their sky high valuations.

Any sort of melt down in the AI sector would almost certainly spread to the wider US market.

In contrast, in China, most of the funding for AI is coming directly from the government, so it's unlikely the same capital flight scenario would happen.

New comment by anana_ in "I ran Gemma 4 as a local model in Codex CLI"

anana_ — Mon, 13 Apr 2026 11:27:26 +0000

I'm not saying it's the latest Qwen iteration - that would be Qwen3.6.

I'm saying it's the latest iteration of the finetuned model mentioned in the parent comment.

I'm also not suggesting that it's "the latest and greatest" anything. In fact, I think it's rather clear that I'm suggesting the opposite? As in - how can a small fine tune produce better results than a frontier lab's work?

New comment by anana_ in "I ran Gemma 4 as a local model in Codex CLI"

anana_ — Mon, 13 Apr 2026 09:38:45 +0000

It's rather surprising that a solo dev can squeeze more performance out of a model with rather humble resources vs a frontier lab. I'm skeptical of claims that such a fine-tuned model is "better" -- maybe on certain benchmarks, but overall?

FYI the latest iteration of that finetune is here: https://huggingface.co/Jackrong/Qwopus3.5-27B-v3

New comment by anana_ in "I run multiple $10K MRR companies on a $20/month tech stack"

anana_ — Sun, 12 Apr 2026 10:35:51 +0000

Upon rereading, I'd agree. Fits with the tone of the rest of the write up.

New comment by anana_ in "I run multiple $10K MRR companies on a $20/month tech stack"

anana_ — Sun, 12 Apr 2026 09:23:39 +0000

> Sometimes you need the absolute cutting-edge reasoning of Claude 3.5 Sonnet or GPT-4o

Dead giveaway

New comment by anana_ in "Something is afoot in the land of Qwen"

anana_ — Thu, 05 Mar 2026 00:57:24 +0000

https://huggingface.co/Qwen/Qwen3.5-27B

I wasn't aware of that, which page mentions that?

New comment by anana_ in "Something is afoot in the land of Qwen"

anana_ — Wed, 04 Mar 2026 19:46:59 +0000

I've had even better results using the dense 27B model -- less looping and churning on problems

New comment by anana_ in "Warren Buffett dumps $1.7B of Amazon stock"

anana_ — Wed, 18 Feb 2026 18:30:03 +0000

They own GEICO...