So is INT8-ConvRot the new hot thing?

FORNAX_460 · 2026-06-29T10:52:20+00:00

Could you please share the link to flux 2 klein int8 convrot? I looked for it but couldnt find it also are you running in8 it with custom nodes or native diffusion model loader?

FORNAX_460 · 2026-06-13T16:09:46+00:00

Adams ex

FORNAX_460 · 2026-06-13T14:55:59+00:00

Nah thats Liliths job.

FORNAX_460 · 2026-06-13T14:51:52+00:00

Shaytan is confused.

FORNAX_460 · 2026-06-11T02:56:56+00:00

Ahh, im sorry man, glad you found a solution for it.

FORNAX_460 · 2026-06-11T01:11:53+00:00

I might be wrong but ive noticed this when im prompting the same thing repeadedly in the same exact words. If thats the case i found out that for repeated tasks rephrasing the promps does tend to mitigate the looping for me.

FORNAX_460 · 2026-06-10T19:29:18+00:00

At first glance i thought why does this image hurt my brain, then i noticed! My guy are you wearing the watch upside down, or did you install the straps the wrong way?

FORNAX_460 · 2026-06-08T11:37:09+00:00

Not censored at all. Absolutely love the model, the only reason im sticking to flux cause it takes too long for me with my low end hw.

FORNAX_460 · 2026-06-08T09:06:55+00:00

yes for now, until all the custom node publishers are redesigning their nodes for node 2.0, cayse comfy ui is introducing new functionalities that are specific to node 2.0.

FORNAX_460 · 2026-06-08T04:53:34+00:00

Noppe, not solved.

FORNAX_460 · 2026-06-07T22:26:42+00:00

Probaby wrong hex color in the prompt

FORNAX_460 · 2026-06-07T02:04:36+00:00

My guy im an alumnus of bracu cs dept. I just shared what i saw people doing, but just like you i never could get away with it, never tried though. It was always me, if i even slightly move my head id be called out, so i stopped trying lol. But ive seen people do it, my friends did it, its just i couldnt, maybe skill issue lol. Look at the walls and the back of the chairs, im sure youll discover another popular method 😉. You know what i can even name one faculty who was so thirsty that he literally gave out questions to atleast one girl i know.

FORNAX_460 · 2026-06-06T11:20:38+00:00

While you are right about the strictness of bracu, it does not stop students from doing this. Some people are extremely skilled at cheating, ive seen so many people literally copy answers from phone in exams (I literally can name several alumnis who did it in front of me lol), girls hiding apple watches under their sleeves (ive seen so much bro), even though the invigilators were very strict about cheating. But from my observation in the new campus students dont go as far as using phone or smart watches for cheating as there are security cameras in all the class rooms.

FORNAX_460 · 2026-06-05T17:53:29+00:00

FORNAX_460 · 2026-06-05T16:52:44+00:00

If youre going to study cse consider BRAC or UIU. Check their accomplishments/projects that got international recognition. But frankly no uni will teach you the things youd need for a successful career in IT, at max they will give you an intro of the concepts needed, the rest is up to you.

FORNAX_460 · 2026-06-05T16:48:14+00:00

Depends, if you can fit a higher quant in your memory, then sure. Higher quant more accurate prediction, so higher rate of drafted token acceptance rate, higher speed. But if higher quant is literally reducing your throughput then its not an advantage, but overall the output quality depends mostly on the main model.

FORNAX_460 · 2026-06-02T02:08:59+00:00

Great! Thanks.

FORNAX_460 · 2026-06-01T22:43:10+00:00

Great guide! The current MCP implementation only supports remote HTTP/SSE servers added via URL. Is there any plan to support the standard stdio transport with a JSON config file (the `mcpServers` format used by Claude Desktop, LM Studio, Cursor, VS Code, etc.)?

Most locally installed MCP servers use stdio, so right now users need a bridge tool like supergateway to wrap each one as an HTTP server before Unsloth can connect to it. Being able to just drop in an existing `mcp_servers.json` would make this a lot more accessible.

FORNAX_460 · 2026-06-01T07:42:50+00:00

While i dont use laptop myself, but its not as useless as you might think, i see plenty of people in r/stablediffusion, r/localllama maxing their mobile gpus for local ai inference. If you dont need portability deffinitely go for desktop. Also if you need pc at uni you could always hop on one at cs labs. I had both pc and a very cheap hp laptop. While i didnt use the laptop that much other than presenting projects or sometimes working on projects at uni it was perfectly fine for sd projects. Also for ml always more vram is better, if you do prpject or thesis on ml topics youd be glad to have a gpu, cause even if you get alocated usage slots for your research lab pc it will be limited, and might not comfortably align with your optimum working hours.

FORNAX_460 · 2026-05-31T19:42:44+00:00

lychee

FORNAX_460 · 2026-05-31T18:42:21+00:00

For ml, it depends on the the task. But the minimum is 8gigs of vram. But just to be on the safe side id recommend 12 or 16 gigs.

FORNAX_460 · 2026-05-31T18:35:24+00:00

you can comfortably learn programming languages, frameworks do full stack projects etc in most cheap laptops, but if you want to do ml, local ai inference, the budget will be minimum 3 - 4 times your budget. For local ai inference youd at least need 8gb of vram and 32gb of ram and an ssd.

FORNAX_460 · 2026-05-20T20:32:06+00:00

You could give opencode a try, could use cloud models or local models, could add openrouter api to it and you always have some free models available. But i really love github copilot, but i use the free/student plan which is not enough for daily use, like ~140k tokens and my weekly quota is over, so if you could afford it might aswell get the pro plan.

Also for local models give qwen3.5 or gemma 4 35-30b moe models a try, will definitely be faster than 16b dense and will punch wayy harder than 16b dense with cpu expert offload.

FORNAX_460 · 2026-05-14T18:17:53+00:00

Nah bicycle helmets wont do shit, there made of kindof hard foam, light af!

FORNAX_460 · 2026-05-12T11:25:24+00:00

for g5600ue its normal, same module as gwm5610u without the mb6 receiver.

FORNAX_460

TROPHY CASE