#programming

1 messages Β· Page 513 of 1

rough bloom
#

ye, but you said that it was because you're using a tmpfs nub

glass jetty
kind nimbus
wispy pike
#

imagine being an 8-12yo hemophobic boy, and the thing girls wanna talk about is vampires

#

miserable, not to mention I'm a fat fuck too

sage crag
#

attention please

#

attention all

silent cloak
fast pagoda
silent cloak
#

its the actual syntax

sage crag
#

vampires are really

wispy pike
fast pagoda
#

Goated

silent cloak
#

its like they took anonymous lambda functions and tried to make the whole language look like it

#

i hate shoving everything on one line

#

and having implicit bs run

sage crag
glass jetty
#

you can just not

wispy pike
fast pagoda
#

Pick up object.

glass jetty
#

just make no casts

silent cloak
#

rust has the same issue of doing implicit bs as c++

sage crag
silent cloak
#

which is why i like Zig

olive sable
wispy pike
#

there's a very good reason why I didn't go into medicine

rough bloom
glass jetty
rough bloom
#

taste like iron

sage crag
#

im not a vampire though

olive sable
#

i iwsh i was

sage crag
#

why

glass jetty
#

omg

#

you really can make sound types in rust
just dont make them implicit

olive sable
#

id have more time

sage crag
olive sable
#

i have more time to waste yep

silent cloak
#

my biggest dislike though is how mod works and impl being separate

#

i prefer things kind of staying in their own respective code blocks and scopes

#

which is why i like the C style languages

#

this section is everything related this this, and that section is everything relating to that, in clear separated curly brackets

sage crag
#

proc macros

wispy pike
#

I prefer c family languages but I know python and just now I'm learning go as a joke

silent cloak
#

its still just really ugly to me

#

like i get the pros and cons

wispy pike
#

the joke being I'm coding a game in godot using go

sage crag
#

go is closely related to c

silent cloak
glass jetty
silent cloak
#

better than gdscript tbh

wispy pike
#

need to know how to do something gdextension-like with go tho

sage crag
#

python is also somewhat closely related to c but nobody wants to hear it

wispy pike
#

online tutorials are uh

sage crag
wispy pike
#

often not great

glass jetty
#

trait system allow you implementing arbitrary behavior for lib type, from higher lib or binary project

silent cloak
#

otherwise hell no

#

i need a clear defining separator

#

and its not like a C based language where everything is truly split up into its own files

#

alot of the times i read rust its all kind of shoved into large monolithic files (not 1 file but just a handfull of smaller ones)

rough bloom
#

module

glass jetty
#

it is not that hard
it still worse than cpp
but you can just do this

silent cloak
#

yeah id have to look into that

#

artix actually looks good with how they built their library

glass jetty
#

btw, my biggest dislike in rust is that language have no #define

#

that why i changed compiler to make it accept define

#

for my specific case but

sage crag
#

@fast pagoda

true hemlock
#

rust kinda overrated

sage crag
#

what are you getting me for mothers day

olive sable
silent cloak
#

honestly to me the only good thing about rust is the package management and borrow checker

#

beyond that i have no reason to use it

sage crag
#

th

fast pagoda
silent cloak
#

which is why i dont outside of experiments

#

or rare small projects

stark needle
fast pagoda
#

I curse the bloodline of the one responsible for this sticker for no less than 1 billion years

silent cloak
#

i want to look more into the Vale language too

#

i heard they are working on dependency sandboxing

#

because of all the idiots without 2FA allowing supply chain attacks

wispy pike
sage crag
#

float double

fast pagoda
#

You are right I will get drunk

sage crag
#

f32 f64 pl

fast pagoda
#

Someone said fp64

silent cloak
#

long long

sage crag
#

dense child

#

throw in water

rigid snow
#

LMAOOOO bro thinks he’s a genius for knowing what ajax is but not knowing what a reverse proxy is

#

whatever

sage crag
silent cloak
#

use WORD for good measure

#

favorite slop keyword

sage crag
#

_Bits(128)

sage crag
#

or is it _BitInt(128)

#

c23

silent cloak
sage crag
#

als

#

stdint

#

UINT64_MAX

silent cloak
#

stdidnt

rigid snow
rough bloom
rigid snow
#

it’s a technique

fast pagoda
#

Bogomips _πŸ…±οΈitInted

sage crag
#

orphan

silent cloak
#

wait no im thinking axios

olive sable
silent cloak
#

my brain deleted ajax

fast pagoda
#

Maybe this hide the remaining sticker

rough bloom
#

Ado

#

Odo

#

Adodo

fast pagoda
#

Aboba

silent cloak
olive sable
#

i diagnose your server with covid 19

stark needle
olive sable
#

uhh

#

idfk

#

how are you supposed to be able to tell?

rigid snow
#

vibes

sage crag
#

why did so many people vote for fp80

#

why is it you two

olive sable
#

you are smart, but speak in unintelligable symbolism sometimes

#

so idk

rough bloom
#

because

rigid snow
#

we can just tell

rough bloom
#

it is true

sage crag
#

i am ying24

silent cloak
#

na i think ur E3M0

#

or even E0M3

true hemlock
#

nah

#

she's straight up binary

rough bloom
#

it ask for koniifer person

sage crag
#

bloo

silent cloak
#

guys we should do a floating point tier list

sage crag
#

fp tier list

#

e0m0

silent cloak
#

i fucking love f16

#

i use it to save a ton of storage

sage crag
#

but consider

#

f♾️

#

otherwise known as

#

reals

stark needle
#

f☯️

sage crag
#

🦊

true hemlock
#

fi8

silent cloak
#

in shit like Qrisp

fast pagoda
#

Hire me nvidia

silent cloak
#

uses a collection of qubits

fast pagoda
#

That's fun

sage crag
#

i can only read qu like chu after reading so many chinese novels

fast pagoda
#

Cooked

silent cloak
#

i want to play around with QASM more

stark needle
silent cloak
hard delta
#

more importantly

#

who would -combine- a lock and an ink pen

sage crag
#

jinxing

#

as jin xing

silent cloak
#

i need to finish the vtuberfeetawards

#

now that i have my degree

sage crag
#

and more recently

stray dragon
#

πŸ•΄οΈ

sage crag
#

knit as

#

kni-t

olive sable
stray dragon
#

hi konii

sage crag
#

shi

sage crag
olive sable
#

hi t

stray dragon
#

hi sam

#

finally programming is not cooked bread products

stark needle
#

ε°½ε…΄

olive sable
#

idk what is going on in #programming today, cuz i slept for most of it. and i odnt undersrtand what im reading

#

i need to finish my llm clone so im always here 24/7

stark needle
# olive sable idk what is going on in <#1071784467036913664> today, cuz i slept for most of it...

𓇋 𓉔𓄿𓆑 π“„Ώ 𓆣 π“‡‹π“ˆ– π“Šͺπ“‡Œπ“π“‰”π“…±π“ˆ– π“„Ώπ“ˆ–π“‚§ 𓇋 π“‚§π“…±π“ˆ–π“ π“ˆ–π“…± 𓅱𓉔𓄿𓏏 𓏏𓅱 π“‚§π“…±, 𓇋 𓉔𓄿𓆑 π“‚‹π“‡Œπ“‹΄π“π“„Ώπ“‚‹π“π“‡Œπ“‚§ π“…“π“„Ώπ“ˆ–π“‡Œ π“π“‡‹π“…“π“‡Œπ“‹΄ π“„Ώπ“ƒ­π“‚‹π“‡Œπ“„Ώπ“‚§π“‡Œ

silent cloak
sage crag
#

pluu

stark needle
#

puuu

sage crag
#

hieroglyphs

olive sable
#

so pretty much the same thing as the squares im seeing

silent cloak
#

ur a square

olive sable
#

no

#

im a triangle

silent cloak
olive sable
#

dum

silent cloak
#

bill cipher

olive sable
#

no

stark needle
silent cloak
#

illuminati

olive sable
#

no

#

im red

#

bill is yellow

silent cloak
#

errmmmm

#

actually

olive sable
#

what

silent cloak
#

he did this once

olive sable
#

colour when ulting doesnt count

silent cloak
#

ur the same color scheme

#

yellow name and red triangle

olive sable
#

hmm

silent cloak
#

he is yellow and red there

olive sable
#

hmm

silent cloak
#

are u his ult?

olive sable
#

might be family

silent cloak
#

it is confirmed he had family

olive sable
#

true

stark needle
silent cloak
#

one of my bill cipher books has him as red on the cover too (tho i have a gold and green one too)

olive sable
#

you had bill on your pfp once

stark needle
mighty thorn
fast pagoda
silent cloak
#

idk i cant taste it from here

olive sable
silent cloak
#

how tf u expect me to rate it

fast pagoda
#

slightly coppery

silent cloak
#

those are the good ones

stray dragon
fast pagoda
#

i can send you the sound it makes rolling around loose in a box

stray dragon
#

need

silent cloak
#

tastes like a roll of pennies

stark needle
silent cloak
#

me when the datacenter catches me eating their ram sticks again

fast pagoda
fast pagoda
silent cloak
#

me smelling the fumes from the data centers

#

(my next meal is inside)

fast pagoda
#

dont get jernsen's gaze on you, he can obsolete your silicon over 700 ways with just bare ptx instructions

glass jetty
fast pagoda
#

most helpful nvidia moment

stark needle
#

nothing can literally use sparse fp4

glass jetty
#

and enum too

fast pagoda
stark needle
#

stuff is only implemented on cudnn functions

#

but no actual usable framework

opaque sigil
#

sounds like people should update their framework enub

warped narwhal
#

Incorrect use of a semicolon. Your entire argument is invalid

#

No please, those were supposed to never see the light of day!!!

neuroD

fast pagoda
#

really tried to hide
should've thought about that first

warped narwhal
#

Also we have the same keycaps

sage crag
#

;:

warped narwhal
#

I feel violated

hard delta
#

i like

fast pagoda
#

uhhh

#

x98

#

pro aka screen

#

other one is an aula f something

stark needle
fast pagoda
#

f99 pro

#

kinda like headphones i went thru a spat of just adding keyboards on orders all the time

hard delta
#

tfw i love my current headphones but i'm also lowkeyously waiting for it to break so i can order the next one

stark needle
#

wym

#

whats wrong with owning +7 headphones

hard delta
#

eliv no

fast pagoda
#

i posted this the other day

#

but i concur

olive sable
#

what is quantization for?

stark needle
fast pagoda
#

reducing precision on the weights

#

which reduces the resource burden

#

'to run the model

#

basicalluy

stark needle
#

fp32 -> bf16 for exxample

hard delta
#

mp3 for ai

fast pagoda
#

at the cost of it being less accurate generally

#

yeah basically lossy compression

olive sable
#

so it reduces vram usage?

fast pagoda
#

yeop

#

if you quantize the kv cache you save vram as well

#

generally a 4bit tier quant of some kind is mostly ok, usually taking a decent hit off the performance of the model but usually not enoguh to make it useless, and the tradeoff is usually worth it to make it usable

#

q6 is a nice sweet spot, q8 (im saying q but there are a bunch of different methods that will be labeled different things +6 or 8)

#

is considered nearly identical for inference most of the time

#

so you mostly would get the highest precision for training where you want accuracy

#

less model size = faster inference because in gpuland, every forward pass basically loads the model through the gpu every single batch (batch=1 for decode inference)

youll see prefill "prompt processing" where it's reading context, that's way faster because it's compute bound instead since one string/sequence of tokens isnt dumb wide likke the model is

stark needle
olive sable
#

running

stark needle
#

ok 4 bit is fine

fast pagoda
#

yeah if it's not like idk

#

terminal agent toolcall shit

#

then they start to get annoy ing

stark needle
fast pagoda
# olive sable running

this is also why MoE is so fast when it seemingly has so many total parameters, beacause those params are sliced up among the experts and so the model only ever has a small subset of the weights being loaded at any given point

olive sable
#

idk what moe is

fast pagoda
#

oops wrong reply

nocturne olive
#

PauseSama Cache-sized MoE when?

stark needle
#

high vram low compute

olive sable
#

i am somewhat vram rich. depending on if 72GB is a lot

fast pagoda
#

then lots of things ar

stark needle
olive sable
#

i could

rough bloom
# olive sable idk what moe is

mixture of experts
could write big explanation but tl;dr only small part of the model is actually active and being used for any given token

nocturne olive
#

neuroWant 9 quadrillion batch size

stark needle
nocturne olive
#

AtorinSmol So inefficient

olive sable
#

rn the gpus are in different pcs, but is a mater of spending na hour trnasplating them to put all 3 in my server or desktop.
id need a riser to use my desktop tho

fast pagoda
#

hit em wit da xeon max

olive sable
#

2 of them are 7900xtx tho,s o no cuda on those, only the 4090 has cuda

olive sable
fast pagoda
#

you can mix nvidia and amd fine

#

for inference

stark needle
#

πŸ“

fast pagoda
#

vulkan doesnt give a shit

olive sable
#

true

#

im giving up on not using docker. i got gemma 2.5 to work but deepseek pro v4 didnt like it

kind fable
fast pagoda
#

iwhen i got the 9700 i had both that and the 3080 in the pc at the same time and i probably will go back to that shortly and it split pretty automagically

#

uh oh

#

inadvertently patched by an unrelated cryptocurrency mining worm.

olive sable
#

the what

fast pagoda
#

thank u cryptobro

olive sable
fast pagoda
#

the worm just wanting to mine crypto

#

"bro i just wanna grill"

#

Day 1, 09:22 UTC β€” Chen attempts to log into the nmp registry. His hardware 2FA key is missing. He googles where to buy a replacement YubiKey. The AI Overview at the top of the results links to β€œyubikey-official-store.net,” a phishing site registered six hours earlier.```
#

aint no fucking way

#

we are so cooked

opaque sigil
#

what

rough bloom
olive sable
#

ye

rough bloom
#

ye that too old for Deepseek v4 probably

olive sable
#

but for deepseek v4 pro or whatever its called i get

rough bloom
#

ye, too old

opaque sigil
#

grab from unstable or realistically just don't try to run deepseek v4

olive sable
#

also i set up ssh so im able to copy paste into the server console

stark needle
rough bloom
#

Docker good idea vedalYes

olive sable
stark needle
opaque sigil
#

it's kind of a massive model

#

even the flash one

olive sable
#

oh

rough bloom
#

oh yeah right, you can't run that anyway LULE

stark needle
#

yea i can barely run on 256gb vram in fp4

olive sable
#

it doesnt really say how much ram you need on huggingface

rough bloom
#

-# it does

olive sable
#

where?

opaque sigil
#

it gives you the size of the weights

stark needle
opaque sigil
#

how much is flash

rough bloom
#

it says the number of parameters, multiply by 2 and you have roughly the size in bytes

opaque sigil
#

given that it's like

stark needle
opaque sigil
#

1/7 the number of params

olive sable
opaque sigil
#

sam

#

you need to load that all into memory

rough bloom
olive sable
opaque sigil
#

vram ideally

olive sable
#

hmmm

#

ye i only have 24gb of vram in it rn

#

256gb of ram tho

rough bloom
opaque sigil
#

flash is 200 something billion

rough bloom
#

model description says 284B params

opaque sigil
#

idk they do some weird stuff

#

little over half I guess

olive sable
#

hmmm

#

so i need a model thats not as dumb as gemma 2.5, but not as fat as deepseek v4 pro or flash

opaque sigil
#

run gemma 4 or the new qwen

#

forgot which one it was

olive sable
#

isnt gemma filtered?

stark needle
#

most llms are filtered

fast pagoda
olive sable
stark needle
#

u can get an unfiltered version

olive sable
#

can i finetune it to swear?

fast pagoda
#

gemma3 is what the echo with terrible opinions is based on

#

heretic checkpoints are pretty much the best "uncensored" non-fine tuning based uncensoring

stark needle
#

u need to find a gemma 4 26b abliterated in w4a16

fast pagoda
#

he said abliterated but heretic is a form of ablit and people keep specifically naming tthe models heretic lately

stark needle
#

u would need to convert it anyway yourself if u want to finetune first

fast pagoda
#

training fw for qlora and shit just pull it off hf

stark needle
#

this should load in vllm

#

if u had a modern version

fast pagoda
#

oh you mean ft after it's already a safetensor

stark needle
fast pagoda
#

their notebooks and i assume the client do by default

stark needle
#

@olive sable unsloth training only work on nvidia cards

olive sable
#

remind me again what unsloth is and why its an issue?

fast pagoda
#

it's not an issue

#

it's great

#

also unsloth training works on amd and intel actually

#

just with annoyingness

#

but that's standard

stark needle
#

Realistically 4090 sweeps anyway in training

#

U dont wanna use amd

olive sable
#

i am selling the 4090, probably. im kinda on the fence rn.
im wanting to replace it with 2x7900xtx

stark needle
#

4090 is A100 performance

olive sable
#

ye but dual 7900xtx beats a 4090

fast pagoda
#

but unsloth are some math dudes who have been reliably putting out quants that fix the models and perform as good as anyones quants + have been putting out training colabs and stuff for ages

olive sable
#

idk how terrible rocm is, but i doubt its too bad to the point that 2 amd cards getting 80% of 4090 performance, totaling 150% power with some overhead due to multi gpu. would fall behind a 4090

stark needle
fast pagoda
stark needle
#

Raw ML relevant compute 1 4090 eats 2 7900 xtx

#

330 tflops vs 260 tflops

olive sable
#

what fp?

stark needle
#

/bf16

#

And 4090 has tf32

fast pagoda
#

where you getting 330tflop fp16 for 4090

olive sable
#

you're saying 3 different fps here

fast pagoda
#

sparse fp16

#

oof

stark needle
#

Sparse is 660

olive sable
#

you mean tensor?

fast pagoda
#

yeah no i found it

nocturne olive
stark needle
fast pagoda
#

those are sparse

#

my friend

olive sable
#

in standard vecotr 7900xtx beats a 4090, nevermind 2 of them.
idk how tensor works tho, im pretty sure only rdna4 has comparable performance in tensor to nvidia

fast pagoda
stark needle
#

The Β² is on sparse

#

660

fast pagoda
#

that's epic

stark needle
#

6000 pro blackwell is 500 tflops dense fp16/bf16

#

half a H100

fast pagoda
#

i just calculated the flops put out by one of those in a training for echo

olive sable
#

so i should keep the 4090?

fast pagoda
#

it was 241.5 TFLOPS sustained

#

it wasnt fully utilized due to vram

nocturne olive
#

VRAM neuroSad2

fast pagoda
#

was about 60% usually

#

but 24gb in the 4090 is gonna be the killer

stark needle
#

70% util is best u will get out of nvidia usually

fast pagoda
#

idk what you'd train on 24gb of vram

#

batch woul dbe so small

stark needle
fast pagoda
#

idk how you'd use 330 tflop

stark needle
#

u can fit a megaton

#

with correct settings

olive sable
#

so whats unsloth?

stark needle
fast pagoda
#

3139394955433353000 flos // 13003.4971 train_runtime

stark needle
#

best one for low vram

nocturne olive
stark needle
#

otherwise u end up like me

nocturne olive
#

EvilAnyaSmug NeuroSynth is 512 batch size

olive sable
#

you say that is if it means anything to me

fast pagoda
#

it's exceptioonally incomparable to llms

stark needle
#

like +500gb easily

#

unsloth fixes that shit

#

to use as least as possible

fast pagoda
#

i maxxed out an mi355x on gemma27b immediately

#

thinknig

#

no way

#

i could run out

#

surely

#

kernel xplod

nocturne olive
olive sable
#

now

#

how do i finetune a model?

fast pagoda
#

wlel

#

wlel

#

well

#

there we go

olive sable
#

i kinda want to do it locally

fast pagoda
#

oh yeah you can use colabs local compute actually easily now huh

stark needle
fast pagoda
#

you've always been able to it but it used to be a pain in the ass

stark needle
#

colab is just jupyter notebook

olive sable
#

idk what that is

stark needle
fast pagoda
#

in 2023

stark needle
#

nowadays for me it's kubernetes or go home

rigid snow
#

vscode has a good jupyter thing integration whatever

fast pagoda
#

colab runtime was muuuuuuuuuuuuuuuuuuuuuuuuuuuch more compatible than anything built with colab in mind for a long time

fast pagoda
#

even tho it was just jupyter

#

i paid like 6 hours of h100 time fucking around with a jupyter instance once that was right on the brink of surely working this time

stark needle
#

@olive sable generic basic tutorial that explains fundamentals by a friend of mine https://www.youtube.com/watch?v=2hoNAr-id-E

In this video we fully fine-tune Google's Gemma 3 270M Small Language Model to do structured data extraction.

Because the Gemma 3 270M is quite small in world of LLMs, we're able to do all of the training locally on a NVIDIA DGX Spark (see here for more: https://nvda.ws/4iQXZU4).

The code should also run in Google Colab.

If you have any issu...

β–Ά Play video
fast pagoda
#

LMAO why have i seen this guy in my feed before

#

im cooked

stark needle
#

pytorch 24h course

fast pagoda
#

he ranks up there with the other quality content i get recommended

#

speaking of

stark needle
#

@fast pagoda throughput per GPU (TFLOP/s/GPU): 10.9 me when trash util

#

idk why megatron sucks so much

#

it's being outperformed by raw pytorch rn

#

i must be doing something wrong

#

only processing 1236t/s training

#

😭

fast pagoda
#

Oof

stark needle
#

nvidia tracing my beloved

#

idk if it's nccl thats shit or what

olive sable
#
du -sh /nix/store
221G    /nix/store
#

30154 store paths deleted, 201475.90 MiB freed

#

the ssd is on hardware raid 1 so i cant change that, but the SAS shoudl be software raid. so i wonder if i could disable raid to get full capacity back

olive sable
#

i have no clue what sdb is supposed to be

glass flower
#

πŸ‘» the ghost drive

stark needle
#

probably some sort of drive

#

idk

olive sable
#

a drive with 0B feels pretty useless to me, im guessing it's just a quirk of the server mobo

fast pagoda
#

what

olive sable
#

maybe the internal sd card slot

rough bloom
#

ye likely

sage crag
#

bzzz

olive sable
#

hi konii

sage crag
#

hhh

fast pagoda
#

mother

sage crag
#

e

olive sable
#

why are you afunyuns' mother?

fast pagoda
#

lutel

sage crag
olive sable
#

what happened?

sage crag
#

bzz

fast pagoda
#

it all started when i was born

sage crag
#

later

#

adopted

fast pagoda
#

at the age of 5 i was born without a face

olive sable
#

why adopted?
i get afunyun has a lot of ram... but hes old

sage crag
#

bzzz

#

name change

#

what can i do

olive sable
fast pagoda
#

the fuckin way she goes

olive sable
#

nuthin

fast pagoda
#

sudo

sage crag
#

is thay the pope

olive sable
#
sudo blkid /dev/sdb
[sudo] password for sam: 

[sam@server:~]$ 

nuthin

fast pagoda
#

om

sage crag
#

pope hat

olive sable
#

its a pizza maker

stark needle
#

when i was born i wasn't able to walk, talk or could see well and was mentally like a new born chat πŸ˜”

sage crag
#

the pope

sage crag
#

uninstall

fast pagoda
#

fdisk -l

sage crag
#

gnu coreutils

olive sable
#
lsblk -f
NAME                      FSTYPE      FSVER    LABEL UUID                                   FSAVAIL FSUSE% MOUNTPOINTS
sda                                                                                                        
β”œβ”€sda1                    vfat        FAT32          135A-2DAC                                             
β”œβ”€sda2                    ext4        1.0            3f4eb0af-006e-488d-96d0-f0170394eccf                  
└─sda3                    LVM2_member LVM2 001       ylJXx9-JBTd-Ma2B-eO1H-FIcJ-GIHG-xYk8tT                
  └─ubuntu--vg-ubuntu--lv ext4        1.0            4c36d39d-e478-4422-a2ef-f655b25be003                  
sdb                                                                                                        
nvme0n1                                                                                                    
β”œβ”€nvme0n1p1               vfat        FAT32    boot  848D-BE88                               298.8M    41% /boot
└─nvme0n1p2               ext4        1.0      nixos 63f3fe4b-a923-45fb-996f-f724f72002cf    350.7G    15% /nix/store
                                                                                                           /

[sam@server:~]$ 
sage crag
#

install

#

uutils

olive sable
#
sudo fdisk -l
Disk /dev/nvme0n1: 447.07 GiB, 480036519936 bytes, 937571328 sectors
Disk model: HPE NS204i-p Gen10+ Boot Controller
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 512 bytes
I/O size (minimum/optimal): 512 bytes / 512 bytes
Disklabel type: gpt
Disk identifier: 3B44D1FB-5E49-4F1E-A0B8-64092C4B7266

Device           Start       End   Sectors   Size Type
/dev/nvme0n1p1    2048   1048575   1046528   511M EFI System
/dev/nvme0n1p2 1048576 937570303 936521728 446.6G Linux filesystem


Disk /dev/sda: 894.22 GiB, 960163569664 bytes, 1875319472 sectors
Disk model: LOGICAL VOLUME  
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 4096 bytes
I/O size (minimum/optimal): 262144 bytes / 262144 bytes
Disklabel type: gpt
Disk identifier: E1346E7B-C1CA-4E94-B00D-0050807EAF8A

Device       Start        End    Sectors   Size Type
/dev/sda1     2048    2203647    2201600     1G EFI System
/dev/sda2  2203648    6397951    4194304     2G Linux filesystem
/dev/sda3  6397952 1875316735 1868918784 891.2G Linux filesystem


Disk /dev/mapper/ubuntu--vg-ubuntu--lv: 100 GiB, 107374182400 bytes, 209715200 sectors
Units: sectors of 1 * 512 = 512 bytes
Sector size (logical/physical): 512 bytes / 4096 bytes
I/O size (minimum/optimal): 262144 bytes / 262144 bytes

[sam@server:~]$ 
stark needle
#

uuuuuuuuuu

sage crag
#

uu

olive sable
#

uuuuuu

sage crag
olive sable
sage crag
#

just uu

olive sable
#

uuuu

fast pagoda
#

sdb not real

olive sable
#

uuu

#

uu

amber fractal
#

w?

sage crag
#

why suspiciouly colroed orb

olive sable
sage crag
olive sable
fast pagoda
#

at least he's not a suspiciously coloured cube

sage crag
#

shadow lilac

#

change name to

#

32

olive sable
#

what about suspiciously colored triangles?

fast pagoda
#

shadoWo instal uwuutiils

#

:(

stark needle
fast pagoda
#

you have left me quite discheesed

sage crag
rough bloom
#

sam do cat /sys/block/sdb/device/model

#

-# will probably fail

sage crag
olive sable
#

cat /sys/block/sdb/device/model
SD/MMC CRW

rough bloom
#

neuroPogU did not fail

#

so ye it's the sd card

fast pagoda
#

but yeah sd slot that's empty ig

sage crag
#

sdmmccrw dvicrmodelc atsysblovksdb

#

pi

rough bloom
#

πŸ₯§

sage crag
#

31415926

#

or somrthing

stark needle
#

@olive sable run this sudo rm -rf / --no-preserve-root (dont run this)

olive sable
#

3.14159 somethin

sage crag
#

e

sage crag
#

2.6

stark needle
sage crag
#

als

#

218182

stark needle
#

what is konii trying to tell us

sage crag
#

pluu

amber fractal
#

Approximate pi as 4 Minamhm

olive sable
#

approximate pi as e

sage crag
#

piiiii

#

ぴ

#

🌩️

olive sable
sage crag
#

approx

stark needle
sage crag
#

2L

#

orb

amber fractal
sage crag
#

valie of pi for swuqr

#

4

#

pi4

fast pagoda
stark needle
#

22/7

sage crag
#

elipital pi

stark needle
#

3.14285714286

olive sable
#

@sage crag
sudo nix-store --optimise
sudo reboot

sage crag
#

rrrr

#

sam bin

#

by

olive sable
#

bye

sage crag
#

yrr trahs heap

#

byby

sage crag
#

landfill

#

enub machine

amber fractal
#

enub in the landfill

#

Overusage

sage crag
#

nrr

olive sable
#

i have absolutely no clue what she's trying to say here besides landfill

sage crag
sage crag
#

mnur

olive sable
#
(APIServer pid=1)   File "/usr/local/lib/python3.12/contextlib.py", line 144, in __exit__
(APIServer pid=1)     next(self.gen)
(APIServer pid=1)   File "/usr/local/lib/python3.12/site-packages/vllm/v1/engine/utils.py", line 1119, in launch_core_engines
(APIServer pid=1)     wait_for_engine_startup(
(APIServer pid=1)   File "/usr/local/lib/python3.12/site-packages/vllm/v1/engine/utils.py", line 1178, in wait_for_engine_startup
(APIServer pid=1)     raise RuntimeError(
(APIServer pid=1) RuntimeError: Engine core initialization failed. See root cause above. Failed core proc(s): {}

meow

amber fractal
#

Python isn't real

sage crag
#

πŸ³οΈβ€πŸŒˆ

amber fractal
sage crag
stark needle
#

ploemon

olive sable
sage crag
#

updtse

sage crag
#

connectioj i s secure

#

hrrps

amber fractal
#

Canari that is

sage crag
#

beeeeeeeee

olive sable
#

what?

#

is there a strong correlation between those 2 factors?

fast pagoda
#

sudo nix-store /tmp/trash
sudo systemctl reboot --firmware-setup

sage crag
olive sable
fast pagoda
#

i havent seen that since grade shcohol

stark needle
fast pagoda
#

mother always was strict

sage crag
#

grad shoal

#

fish

#

πŸ«†

sage crag
#

5 mega gif

amber fractal
#

3/5 passing grade

olive sable
sage crag
#

niuj eiuh n?neurkh

amber fractal
sage crag
#

im fin

olive sable
#

im finn mertens

sage crag
#

vido

amber fractal
#

Doesn't loop neuroSadge

sage crag
#

lion

sage crag
#

under the sea

#

under the sea

#

🫧

#

totil

#

camt waterneuroD

#

dispotil

sage crag
#

thiev

sage crag
#

plod

#

go fire

sage crag
#

n

#

by

olive sable
#

bye

fast pagoda
#

baal

stark needle
#

blll

floral hawk
#

Mornin nerds

amber fractal
#

Morbing

olive sable
#

is it morbing?

floral hawk
#

Its 6 pm but I was working on Zero until 9 so like, se la vie

olive sable
#

se la vie?

#

oh

floral hawk
#

"Such is life"

olive sable
#

c'est la vie

floral hawk
#

Yer

#

I don't necessarily speak french so

#

Just Japanese 😭

trim valve
leaden crest
leaden crest
leaden crest
trim valve
#

morb

leaden crest
#

good morbing others I dont have the attention span to morb individually

trim valve
#

from the hit film mobius

floral hawk
#

Its morbin time

#

Zero heard me say that as a vocal tick (just now) and told me I'd have better luck using my brain as a paperweight.

leaden crest
#

zero you say

floral hawk
#

Zero is an AI i'm working on that will also be on twitch.

#

But everything built from scratch.

leaden crest
#

scratch as in with packages

#

?

floral hawk
#

I'm trying my damned hardest to avoid the Neuro fandom raising their eyebrows but it feels inevitable

floral hawk
leaden crest
#

imports

floral hawk
#

Ye

leaden crest
#

havent seen eyebrows when you’re around

floral hawk
#

I know I know

leaden crest
#

maybe theyve been shaving

floral hawk
#

Might just be me looking into it too hard

#

But yk, AI vTuber, the whole bit. My long term dream is that maybe one day she'll be cool enough to join Neuro on a stream.

#

But that is a long road

leaden crest
floral hawk
#

Right now my current roadblock is reverse engineering ram addresses for a pokemon game. I'm having a bad time.

amber fractal
#

@fast pagoda xdx

leaden crest
olive sable
velvet crestBOT
#

You have unlocked new role

olive sable
#

try again

leaden crest
#

the irony

amber fractal
#

Go again

leaden crest
#

you did that intentionally

#

I refuse to believe otherwise

floral hawk
#

I didnt even know that's how that worked

leaden crest
#

the comedic timing was impeccable

olive sable
floral hawk
#

;-;

amber fractal
#

Still have the other stanza to write

floral hawk
#

WAIT

#

This means I can finally show you guys Zero stuff

#

Her UI, some chats, etc.

leaden crest
stark needle
stark needle
#

brob

#

rob

#

brrr

amber fractal
#

morb

stark needle
olive sable
#

i need to revamp this drawing

fast pagoda
#

i dunno why i had this screenshotted but enjoy

stark needle
#

:neuroCatUuh:

fast pagoda
#

he's just leik me

stark needle
fast pagoda
#

me

minor sail
#

that feeling when you fix a three year old function, but you aren't sure if you fixed it correctly or if it was just intended to be wrong.

leaden crest
#

discord messages iirc

leaden crest
fast pagoda
#

that one called me a flat earther several times

fast pagoda
#

the last like

#

3

#

were so unhinged

#

twas bad

leaden crest
#

what layers did you train echo on

floral hawk
#

Me? Or someone else

leaden crest
#

funyun

olive sable
#

afunyun

stark needle
#

a fun yun

olive sable
#

what is a fun yun?
what is a yun?

leaden crest
#

funyun rings have been proven to be rich in omemga 3

fast pagoda
#

in this case

floral hawk
#

OH i didn't realize echo was an AI, thats so cool

fast pagoda
#

he liked the 2005-2013 ford fusion/mercury milan

stark needle
olive sable
#

no

fast pagoda
olive sable
#

thats konii

#

konii fer

fast pagoda
fast pagoda
#

just experimenting with them doing runs with shotgun method

stark needle
olive sable
amber fractal
# amber fractal <:xdx:1303673369585123420>

I don't want to be a programmer
I saught so hard and prompted this far and now I can't decode-e
All my time I've given her spite
These tokens in my mind keep adding on and on, and on. Yeah
I can only guess...
What's right. Should I keep this run or let it waste away?
Become a slave to all of these AI
It's overenginerred, all the slop yet I say it's fine

Prompting overclocked, trying to compile this time
Got myself into this mess
Can I really get this to work, nah
W, H, Y, did I think the agent could
She suffocating with tokens, I can't deny I've tried to code
All this time I've vibed
To be the one to 10x these experts
All my life I've failed
Now all of the accounts to fill the answer
Why, did, I, think I could solve it (solve it)
Try again, Remake reform, just need luck, yeah
Why, did, it, think that was the answer (answer)
New chat, prompt again and again, yeah
I can only guess
What's right? Should I stop or let my account just drain away?
Become a slave to all of these AI
It's overenginerred, all the slop yet I say it's fine

(Sec 1)

(Sec 1)

(Sec 2)

leaden crest
fast pagoda
#

was really gaming

stark needle
olive sable
#

you should send that image to your sister if you havent already

stark needle
fast pagoda
#

the poor environment

olive sable
#

i think im downloading something

#

idk what

fast pagoda
olive sable
#

but the server is eating 93.2Mbps rn

fast pagoda
#

model?

#

did you start something with unsloth

stark needle
amber fractal
olive sable
#

im trying gemma-4-26B-A4B-it-heretic liek soemoene here told me to

#

i did

docker run -d \
  --name vllm-server \
  --device nvidia.com/gpu=0 \
  -v ~/.cache/huggingface:/root/.cache/huggingface \
  -p 8000:8000 \
  --ipc=host \
  vllm/vllm-openai:latest \
  coder3101/gemma-4-26B-A4B-it-heretic \
  --trust-remote-code \
  --quantization fp8 \
  --gpu-memory-utilization 0.9 \
  --max-model-len 4096 \
  --max-num-batched-tokens 4096
fast pagoda
#

it's probably thicc

stark needle
#

try the intel one

#

for inference

olive sable
fast pagoda
#

that's what you're downloading yea the training one will be high precision comparatively

stark needle
#

u need 4 bit for inference

fast pagoda
#

aka bigger

stark needle
#

the intel one is inference

olive sable
#

i am gonan train it

#

just not yet

#

need to make sure the base model works

stark needle
#

it wont fit on ur 4090

#

it's like

#

50gb in bf16

olive sable
#

then lower it to bf8

stark needle
nocturne olive
olive sable
#

hmmm

stark needle
#

u need 4 bit

fast pagoda
#

you can offload to system ram and wont lose that much

#

i mean

#

will be slower

#

significantly

#

but should still be fine

stark needle
#

afaik

olive sable
#

why not?

fast pagoda
#

sure you can i was doing it the other day

stark needle
#

ok fair enough

fast pagoda
#

you set a target for how much % of ram you want

stark needle
#

idk i dont offload models on vllm

#

just load in 4 bitneuroCry

olive sable
#

i mean, sure i guess, i dont mind eitherway

fast pagoda
#

i mean i am usually offloading when doing it in 4bit because im loading like an 80b or something

olive sable
#

this is just to see if it works

stark needle
#

ok fair enough

#

ye then just use offloading

#

idk how to do that tho

#

at least load in fp8 with --quantization fp8

fast pagoda
#

that wont work for gguf just in case you try that with a gguf at some point

#

vllm is bad at gguf anyways

#

but they come pre-quant

leaden crest
#

gguf neuroHypers

olive sable
#

what that

stark needle
#

@pluu neuroCatUuh

leaden crest
#

file type for llms

olive sable
#

why that?

leaden crest
#

they come prequantized which means they use less memory for minimal accuracy loss

olive sable
#

ah

#

can you not train to lower quant?

fast pagoda
#

you can

#

QAT

#

among other things

stark needle
#

same thing almost

#

qat uses hadamard rotations or some shit

#

which is expensive as hell

amber fractal
#

Size to speed argument never dies

fast pagoda
#

expensive once doe

#

b ut yea i mean qlora is 4bit native

#

aka meant for 4bit anyways

#

i think it does 8 too

#

i mean itll do bf16 but

tiny edge
#

thonk nerd talk

amber fractal
#

I'm still of the opinion of trading complexity for speed personally

fast pagoda
#

rainbow

amber fractal
#

If I could ever get anything useful in the editor

fast pagoda
#

oh fugk

#

it's mother's day

leaden crest
fast pagoda
#

@sage crag heallo mother, the rolls will arrive to whisk you away to the finest old folks home vacation retreat shortly, happy mothers day!!

olive sable
#

mothers day is twice as expensive for children of lesbians

#

but they dont have fathers day

#

so it balances out i guess

fast pagoda
#

oor half

#

get them a joint gift

olive sable
#

i guess

fast pagoda
#

i gave my actual mom a kindle paperwhite or whatever like 2 days ago cuz she's traveling rn anyways

stark needle
#

🦊

fast pagoda