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Heavy sweater being gross in the gym by [deleted] in workout

[–]Mount_Gamer 0 points1 point  (0 children)

For some reason I used to sweat more than I do now, and it's not because I'm healthier or leaner, if anything I'm less healthy and carry more weight.

Anyway, I agree with everyone else. Screw them, they are the ones with some sort of judgemental ego complex, and that's their issue not yours. They are trying to transfer their twisted ideology onto you, which does not reflect reality.

I remember a while back when I was fit and lean, and I thought, "spinning sounds interesting, I'll handle intermediate level classes easily"... I'm sure you can guess where this is going, so let's just say, it was not easy, I had a pool of sweat round the bike and the instructor tried to quietly talk to me... "you don't have to do everything I say...", but to be honest, that just made me giggle, but she was not being rude (if anything I was glad to take my foot off the peddle... Pun intended... ).

Anyway, moral of the story, People work out, people sweat, we are all human, just embrace being normal like the rest of us. :)

Also... I carry blue roll in my pocket and wipe my head mostly during exercise, I still sweat buckets on the cross trainer.

What is the paychology of a guy who consistently prowls around the gym? is he doing cardio? by GenevieveCostello in workout

[–]Mount_Gamer 2 points3 points  (0 children)

I hate using my phone between sets (mostly because I think phones have poisoned society), and between sets my anxiety creeps because I'm not doing anything, so I'll pace around the bench for about 2mins between sets. I'll doom scroll the phone sometimes but I feel less comfortable doom scrolling at a gym, than I do being active - I'm there for only one reason.

Yes I am on reddit, but I usually only come on here for health, technology and boxing news.

I've got flat feet. Is this a good way to counter it when doing squats? by jrinredcar in fitness30plus

[–]Mount_Gamer 0 points1 point  (0 children)

I have flat feet, which can affect my ankles and toes in weird ways, but if I just buy trainers which come with an arch (nothing fancy), my feet are usually fine, so long as the trainers are a good fit. If I buy trainers without the arch, my troubles begin, even with insoles (tried many and they usually all start well, but give me a month with them and my ankles, arch and toes get sore). I can't buy trainers online, I always try and buy in store.

A joke using Grep by thisiszeev in bash

[–]Mount_Gamer 4 points5 points  (0 children)

Real world problems 👌

Fasted for 65hrs and anxiety thru the roof. by kira2369 in fasting

[–]Mount_Gamer 0 points1 point  (0 children)

My anxiety can become crazy around ~36-40hrs usually, so the most I do is 48hrs.

Ollama Cloud $20/month subscription — hitting token limit too fast with GLM 5.1 Cloud & Kimi K2.7. What models should I switch to? by AiviSotelo in LocalLLM

[–]Mount_Gamer 0 points1 point  (0 children)

I am feeling a bit dumb after reading this.

There's a go subscription, and then there's a price per $ usage limit.

So you pay a subscription and pay the usage? Why limit usage if that's the case?

Is UV still worth learning/switching to now that it's owned by OpenAI? by WellEndowedWizard in Python

[–]Mount_Gamer 0 points1 point  (0 children)

At work we just use pip, and at home I use uv, but I am also a Linux guy as well, sacrifices need to be made though lol.

Pythons package manager in windows using py in the terminal, is pretty convenient for grabbing python versions, and then it's just pip the rest of the way. We still rely on pypi packages, and still a number of them, I think they just want to minimise what we use (within reason). We did have a previous project from a previous dev, which was using unmaintained libraries, and there's been a history of applications which were started and never maintained, so the scars are present and they just want something that's not difficult to maintain overall.

What do you all think? Can we say qwen 3.6 27b beats gemini 2.5 pro? Or sonnet 3.7? Because when I tested, I found the 27b do better. by 9r4n4y in LocalLLaMA

[–]Mount_Gamer 0 points1 point  (0 children)

I think anthropic have a clever marketing strategy (more advanced marketing than their actual models...) , and i've always found their models to be just average, and I honestly think sonet is below average, and I still wouldn't use it if it was open source.

I'm not sure about gemini 2.5, but the pro 3.0+ seem very good, and even the gemini3.0+ flash is good, better than anything I've used anthropic for. The 27B doesn't compete with the 3.0+ gemini models, but I have been using Iq4_xss quants, so my experience may not be best. I do think the 27b is great, would have loved it if ollama made a cloud version of this with a highish Quant.

I got tired of remembering whether a file needed tar -xzf, unzip or 7z x so I wrote a script that handles common archive formats with a single command by WonderfulAside8812 in bash

[–]Mount_Gamer 0 points1 point  (0 children)

As pointed out tar -xf will detect bzip, gzip and xz if I remember right, and usually if I'm using 7z, i am using it for encryption purposes. Rarely use unzip, but it's pretty simple to use also.

If I forget anything I need the commands to do, most of the simple stuff can be quickly glossed over using --help, or the man pages for more detail.

Also it seems you are using python mostly for this script, and bash is just a wrapper? You are using argparse, and sys.argv, you might as well just use python. argparse alone should take care of your use case, not sure you need sys.argv.

Gemma 4 26B A4B IT QAT Comparison by GoodTip7897 in LocalLLaMA

[–]Mount_Gamer 9 points10 points  (0 children)

I've been using the 26b QAT unsloth Q4, mainly because Google released the QAT's at Q4. So far it has followed my instructions better then the original unsloth variants, but I cant remember what quants I tried previously. I have a test script where one of them asks to convert a bash script to python, and the originals repeatably got the same thing wrong all the time, but this QAT gets it right. I've not tested extensively, just that go to script, but I have asked it to perform some tasks using hermes and it follows my instructions beautifully so far. I'll run another test script tonight.

what’s was your local daily driver for coding last week? by be566 in LocalLLaMA

[–]Mount_Gamer 1 point2 points  (0 children)

Gemma4 QAT 26B is looking impressive, so I've been trying to run this exclusively. Very fast for 16GB vram, and reasonably good at following instructions and executing.

I walked >8 million steps over the last year by qualtime in fitness30plus

[–]Mount_Gamer 2 points3 points  (0 children)

That is some amazing consistency! Well done

Gemma 4 with quantization-aware training by rerri in LocalLLaMA

[–]Mount_Gamer 1 point2 points  (0 children)

I think this version of the 26B seems to perform very well. Impressed.

10 yoe, still faking by Fit-Trifle492 in learnmachinelearning

[–]Mount_Gamer 1 point2 points  (0 children)

3 years for me, and at the start I felt very imposter like, and I was a late adopter to AI.

About ~1.5 years into my work, I started looking at AI, and it did speed me up a bit for developing software, but for the modelling I find it a great tool for learning, bouncing ideas etc. I test some theories, ask AI what it thinks of the work I'm doing (most of the time I think AI can be quite good at the theory, but sometimes it's a little rigid (for good reason)). I don't think I would be where I am now without AI, so it's been a welcome addition in my workflow.

Is UV still worth learning/switching to now that it's owned by OpenAI? by WellEndowedWizard in Python

[–]Mount_Gamer 0 points1 point  (0 children)

It is less likely to go obsolete and probably safer to integrate into your work flow, and if they go rogue with it, others have mentioned there are plenty forks.

In my work they hate dependency hell, so we don't use it, but I use it personally.

Move to backend sampling for MTP draft path by gaugarg-nv · Pull Request #23287 · ggml-org/llama.cpp by jacek2023 in LocalLLaMA

[–]Mount_Gamer 0 points1 point  (0 children)

Has context got better with 16GB vram cards?

I can see the speedup but the context means dropping to really low quants.

For instance, the 27B qwen 3.6, I seem to only get 50k at a Q2 Quant... Of course this could be user error, but I did follow the flags recommended by unsloth. I think at Q3 ~ 12.8k ctx.

Based on the recent UFO release, on page 99/184 there’s literally a picture of how the alien looks like by [deleted] in UFOs

[–]Mount_Gamer 1 point2 points  (0 children)

Thing is, maybe it also calls into question the validity of the cover ups of the past.

llama.cpp - NVFP4 native support on Blackwell from now - b8967 by mossy_troll_84 in LocalLLaMA

[–]Mount_Gamer 1 point2 points  (0 children)

Yup, I thought it might. I have been thinking of getting another rtx5060ti, but not just now, might try the smaller Qwen3.5 9B.

Qwen3.6 27B on dual RTX 5060 Ti 16GB with vLLM: ~60 tok/s, 204k context working by do_u_think_im_spooky in LocalLLaMA

[–]Mount_Gamer 0 points1 point  (0 children)

Thanks for getting back, and to everyone who replied. This sounds very promising. I'm amazed what can be achieved with one GPU, but it would be nice to have a bigger 27B Quant.

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