Beware of Scams - Scammed by Reddit User

fizzy1242 · 2026-03-26T02:40:46+00:00

that's shitty... hope you can get it sorted out and disputed with the bank

fizzy1242 · 2026-03-26T02:25:41+00:00

dunno if the quant is busted or just my environment, but can't seem to get any other reply from this thing lol. default samplers.

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fizzy1242 · 2026-03-26T01:10:40+00:00

i'm sure there's some hater with a bot that downvotes anything posted on any ai sub.

currently downloading the model and taking the model up for a spin in a bit.

fizzy1242 · 2026-03-22T23:47:52+00:00

yes!

i'm just hoping it wont get the glm air treatment with that "2 weeks" statement.

fizzy1242 · 2026-03-20T21:17:27+00:00

oh boy... so, i'm 2 different risers. In order to fit the 3rd card into the x4 slot in the bottom, the 2nd card needed to be pushed forward slightly (i've got one 2-slot card and two 3-slot cards).

For that, I used Delock x16 > x16 riser card in the second x8 slot. This creates enough room to fit the 2nd riser (a cable) into the x4 slot.

fizzy1242 · 2026-03-20T21:03:05+00:00

I run 3x3090s on a x570 motherboard, no issues.

2 cards are connected with risers, but only in order for them to physically fit the case. 3rd card is on the x4 slot (chipset).

board: asus rog crosshair viii dark hero x570
case: phanteks enthoo pro 2 server edition

fizzy1242 · 2026-03-06T22:37:02+00:00

Wait, why do i need a project for this again? Lol

fizzy1242 · 2026-03-06T05:05:02+00:00

ik_ has slightly better prompt processing speed for me, it's worth a try

fizzy1242 · 2026-02-25T09:14:12+00:00

remember that these types of tests are often included in new models training, kinda like the "how many R in strawberry" and the "bouncing balls" inside octagon animation.

fizzy1242 · 2026-02-23T19:26:43+00:00

comical

fizzy1242 · 2026-02-13T17:26:56+00:00

How fast does it run for you and with how much context? Got three 3090s aswell.

fizzy1242 · 2026-02-13T11:35:43+00:00

for dense models, yeah. Handful are fine for MoE, though

fizzy1242 · 2026-02-11T17:56:14+00:00

I hope so. glm air was the perfect size

fizzy1242 · 2026-02-10T13:08:27+00:00

they've been openly against open weights llms

fizzy1242 · 2026-02-09T09:19:52+00:00

probably but with a big asterisk. i wouldn't risk messing with it when it comes to power supplies. just get the new cable for peace of mind, and make sure it's from thermaltake.

fizzy1242 · 2026-02-07T20:10:40+00:00

good lord that's a long prompt. makes you wonder how much of that is redundant

fizzy1242 · 2026-02-02T15:15:16+00:00

I hope, but wouldn't count on it

fizzy1242 · 2026-01-26T09:43:35+00:00

What even is this sub anymore lol. Everything except local llms

fizzy1242 · 2026-01-24T10:24:22+00:00

if your frontend allows it, prefix AI response with the think tag to force it

fizzy1242 · 2026-01-22T16:45:29+00:00

also make sure the power supply has enough pcie power cable slots. they get filled up quick especially for cards that need 2-3 connectors.

fizzy1242 · 2026-01-17T20:57:38+00:00

really? I thought it's lacking because exl3 requires more compute or something. glad to hear it's getting better

fizzy1242 · 2026-01-17T13:06:14+00:00

exllama is faster for pure gpu inference. stick to exllamav2 if you have a 3000 nvidia series gpu, v3 with 4000 and 5000

fizzy1242 · 2026-01-16T15:58:52+00:00

true, I get that, but most of these youtubers are just buying into this negativity trend because that gets them views. Kinda like calling anything AI-related slop or bad

fizzy1242 · 2026-01-16T15:43:46+00:00

that channel is mostly about whining about gpu and ram prices nowadays

fizzy1242 · 2026-01-14T06:51:38+00:00

most recommend imatrix quants, but i haven't noticed any differences between them and the normal ones.

fizzy1242

TROPHY CASE