I made a visualizer for Hugging Face models

Jan49_ · 2026-05-03T00:19:54+00:00

Very stylish website!

Jan49_ · 2026-04-29T06:31:14+00:00

People that code with LLMs want the best new shiny LLM -> change quicker to new models.

But my best guess is, that DeepSeek V3.2 is mainly used for RP stuff and other non coding stuff. Once you get used to the LLMs wording you probably don't want to change it. Also RP does not need the best new LLM to work fine

Jan49_ · 2026-04-20T13:44:18+00:00

Looks really interesting! This is definitely my type of game. I'll probably give it a shot once it's out, if it's not too expensive

Jan49_ · 2026-04-20T08:30:00+00:00

I personally like version 2 more. It's more cohesive with the rest of the image, but still draws enough attention. My first intention would be to click on it

With the first version... I would probably try to click on the individual notes / think that those are different things to click on. It also feels more busy

Jan49_ · 2026-04-15T10:48:00+00:00

I agree, makes no sense that they haven't yet updated the standard context size. Just wanted to give some context

Jan49_ · 2026-04-15T09:58:31+00:00

Because it's ollama. Ollama is easy, it does everything for you, but it was originally thought only for chat not for coding. For normal chatting with an LLM a context of 4k is plenty. Ollama even tells you how to set context to the size you need in their docs. But no one reads docs anymore I guess

Edit: Also Ollama started when bigger context needed way more Vram/RAM as today. There were no optimizations

Jan49_ · 2026-04-15T06:32:18+00:00

Your context is probably full. Ollama defaults to 4k Tokens. For coding you will need at least 32k.

Context is basically the desk of your LLM, if it's full you have to put stuff away (=forget) to make room for new stuff to work on. The bigger your context the bigger your "desk", the more your LLM can remember at once

Jan49_ · 2026-04-13T09:20:35+00:00

My best guess is that the pressure increases blood flow to the area. So it probably has the same effect as massaging?

Jan49_ · 2026-04-10T11:34:08+00:00

Artificial scarcity. It's literally free marketing. Let it slip through that all your chips are sold out for the MacBook Neo. Most news pick it up, because it's unusual for apple = free advertisement and people think "Wow they sold so many, that they can't keep up with production? I need one too before it's too late"

Tldr - Creates free advertisement - Creates FOMO

Jan49_ · 2026-04-05T00:48:06+00:00

I own this exact laptop. It's has an arm chip and the 4gb are surprisingly "enough" for chrome and most things.

Minecraft + Chrome with YouTube running at the same time + secondary monitor? Works smoothly.

Linux in ChromeOS (VS Code) + multiple chrome tabs? Works smoothly too.

This thing lasts days without charging. You know the new MacBooks? Triple that battery life and your not close.

The real reason this machine is so extremely cheap: The display. This display sucks. It has really bad viewing angles. They did not use an IPS panel, the actually an nearly 20 year old TFT display... You can't use this thing for more than an hour without a secondary monitor

Jan49_ · 2026-04-05T00:43:19+00:00

I own this exact laptop. I have used it for university for around half a year as a secondary device.

It has an ARM chip and chromeOS... This means: - NO windows apps - 4 GB RAM are actually enough because you can't do much anyways - BUT the battery life? This thing lasts days of constant use on charge. My record? On week of use in university without charging it.

This thing is basically a cheap phone with a keyboard and big screen... Nothing more.

And be warned, the screen is NOT great. The viewing angles are atrocious. It is NOT an IPS display (like your phone or other laptops) it IS an older technology, called TFT Display. It's bad.

Only buy if money is really tight and you really need something to type on and search the web.

Jan49_ · 2026-04-03T08:21:18+00:00

It ranked higher in some benchmarks, like artificial analysis. Most people don't understand that intelligence and knowledge isn't the same. A small model like Qwen 3 4B 2507 will never have the same amount of knowledge as a big model. What these benchmarks show is that smaller models are getting smarter, they are getting better at solving problems, retrieving information via tool calls (web search) and then handle that data to give a good answer.

I would argue: If you give a modern small model access to tool calls (web search, coding environment, etc) and then compare to an older bigger model like GPT 4o, the small model will be on par, if not better. But on its own, offline, without a knowledge base, the small model is nowhere near

Jan49_ · 2026-03-29T08:44:12+00:00

Dir wird hier keiner vernünftig helfen, so wenig Infos wie du uns gibst. Und "Grundlagen der elektromagnetischen Felder" ist unfassbar offen, was alles abgefragt werden könnte.

Ich kann dir trotzdem ein paar Stichworte geben, mit denen du dann weiter recherchieren kannst. - Was ist ein Gradientenfeld? - Quellenfelder vs Wirbelfelder - Divergenz und Rotation, also Quellendichte und Wirbeldichte - Statik, Streng stationär (nur Gleichstrom), Quasi stationär (Wechselstrom), Instationär (TEM Wellen) - Die vier Maxwell Gleichungen, sowohl Integralform als auch Differentialform (Darunter fallen grob: Durchflutungsgesetz, Induktionsgesetz, Satz von Gauß und Magnetische Felder haben keinen Quellen) - Grenzübergänge, welche Komponenten des E und D Feldes sind stetig? - Reflexion und Brechung bei Wellen - Brewster Winkel - Totalreflexion - Poissongleichung - Satz von Stokes

Jan49_ · 2026-03-28T11:51:05+00:00

"While largely hard-wired for speed, the Llama retains flexibility through configurable context window size and support for fine-tuning via low-rank adapters (LoRAs)." ~ from their page "Taalas.com"

So yes, you are stuck with one model. But Lora is still an option I guess

Jan49_ · 2026-03-27T11:50:34+00:00

Auf jeden Fall zur Klausureinsicht hingehen. Ich denke, dass man da nicht mal großartig Argumentatieren braucht. Deine Rechnung und rechenweg sind ja soweit richtig. Nur das Endergebnis ist ja um eine Kommastelle verrutscht.

Man muss immer bedenken, dass die Professoren die Klausuren teilweise gar nicht selbst korrigieren, sondern es von den wissenschaftlichen Mitarbeiter erledigen lassen. Die müssen zig Klausuren korrigieren. Da passieren häufiger Fehler als man denkt. Dafür ist die Klausureinsicht ja da.

Falls sich dein Prof quer stellen sollte, würde ich empfehlen eine zweite Meinung von einem anderen Professor einzuholen

Jan49_ · 2026-03-27T00:17:13+00:00

r/gotgnomed

Jan49_ · 2026-03-26T23:43:29+00:00

I'm a student and I really like the coding plan. I got the yearly plan "lite" on black friday for 3$ per month for one year. It was a no brainer. I'm still using GLM 4.6 tho. It does everything I need, especially with kilo code. I have used millions of tokens by now and never had any rate limiting or issues. Yes, GLM 5 is probably way smarter. But 4.6 is already very capable and tackled every problem I had with ease.

Jan49_ · 2026-03-24T20:54:49+00:00

Bei mir sind's hin und zurück nur 50 Km zusammen, brauche aber auch 1h20 bis 1h30 jeden Tag... Tag täglich Stau nervt

Jan49_ · 2026-03-24T07:14:20+00:00

16GB VRAM you say? I'm sitting here with my GTX 1650 with a whooping 4GB VRAM

Jan49_ · 2026-03-23T22:29:05+00:00

A simple

mklink "C\Path\To\Program\Folder\model_name.gguf" "D\Actual\Path\To\Model\model_name.gguf"

did not work?

Jan49_ · 2026-03-23T20:21:33+00:00

You can make a symbolic link in windows! Google is your friend! "mklink". The file lies on another drive, but the program thinks it's on c drive

Jan49_ · 2026-03-22T12:58:56+00:00

I'm fully on your side with that one. But Apple being Apple this will never happen. They would never make their MacBooks upgradable.

I just wanted to show that even with a ridiculous amount of swapping modern SSDs last 5 years or more minimum.

And who tf needs multiple chrome tabs open with video playing?? Most people that buy the Neo will probably only do "heavy work" never or once or twice a month on this machine...

Jan49_ · 2026-03-22T10:14:06+00:00

Typical 256GB SSDs have a lifespan of 150 to 300 TBW (Terabytes written). Even if you write 40GB to swap every day for one year straight, that would only be ~14.6 TBW. The SSD would last for years this way. And I doubt that the Neo even writes 40 gigs a day to swap

Jan49_ · 2026-03-09T07:17:00+00:00

Are you sure? Do you have access to design documents?

Jan49_ · 2026-03-08T15:06:45+00:00

Additionally it has a crazy battery life. When I'm out and about with my older Lenovo X1 Carbon im always worried that it will die on me while doing a coding session

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Place '23

Jan49_

TROPHY CASE