@theartificialintelligenc: You can now run 70B model on a single 4GB GPU and it even scales up to the colossal Llama 3.1 405B on just 8GB of VRAM. AirLLM uses "Layer-wise Inference." Instead of loading the whole model, it loads, computes, and flushes one layer at a time. → No quantization needed by default → Supports Llama, Qwen, and Mistral → Works on Linux, Windows, and macOS 100% 100% Open Source. #ai #mac #windows #model #trending

theartificialintelligenc
theartificialintelligenc
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Saturday 04 April 2026 13:08:05 GMT
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tomplee
tomplee✔️ :
speed about 1 token per second
2026-04-04 17:45:15
235
dima.worcestershire
Dima Jr. Worcestershire :
tried. slow. deleted.
2026-04-05 16:04:50
109
sugahustler
sugahustler :
**Short answer:** Yes—while AirLLM pioneered layer-wise inference for extreme memory constraints (70B models on 4GB GPUs), several alternatives now of
2026-04-05 12:50:15
0
dkw999_
dkw999_ :
Just use chatgpt. seriously. u cant never beat their algorithm with a homemade solution
2026-04-28 12:25:46
1
decrem2020
EL_ PEPE :
Trying to cook a huge meal in a tiny kitchen by bringing ingredients in one at a time. It’s going to be slow like crazy…
2026-04-05 16:30:38
17
white.raven264
White Raven :
I actually built a better model 🤷🏼‍♂️I can fit 64 gb into 4 gb of physical ram
2026-04-05 12:32:40
2
rosts.luksz.armnd
Rostás Lukász Armándó :
Pretty much abandoned
2026-04-04 15:31:46
13
misticlafrite
misticlafrite :
my GTX1650 ain't doing that
2026-04-05 10:54:10
5
ramcerva
🜲 마우리 🜐 :
It is for special workflows to compensate tasks but not for general chat or vibe coding. Example it helped me before to analyze/search blocks of code with Mistral on my behalf to then create a prompt to be sent to Mistral without this engine. It was just a helper but now you have better options like Gemma e2b or e4b
2026-04-28 23:54:57
1
pearvert
🍐Pääruna🥔 :
or you can just use the OS built in swap file feature. this likely won't deliver much any better performance because the token must traverse through all the layers anyway before the next comes in. in the besr case you could have them pipelined in such a train where a few of the consequent layers and tokens are processed in parallel in the same memory window. This is just speculative tho I didn't read through the actual project obviously
2026-04-05 14:47:08
1
.simpleuser.linux
simpleuser :
1 token per second + no accuracy
2026-04-28 18:51:18
5
johndoe8929
John Doe and 753 others :
I have a 4gb gpu but I only do gaming, what could I do with this?
2026-05-25 22:32:37
0
curseofsleepless
sleepless :
any model running on my spare 1080ti?
2026-04-05 17:47:58
0
t90955632
t90955 :
1TPS on 4gb GPU for 70B model isn't bad at all
2026-04-07 06:26:55
3
aisweeties
AISweeties :
"Run" more like crawl 😅
2026-04-11 19:11:31
1
hikshitij
Kshitij :
tiktok, listen, i want valorant clips, not this bullshit
2026-04-29 04:25:03
0
wootwootwootwoot
M :
49 layers of hell.
2026-04-05 23:44:06
2
nirut65
localhost:3000 :
you didn't tell the truth that how speed is it?
2026-04-29 05:53:49
1
javicc6
javi cc :
habría que ver la velocidad y más si está almacenado en un hdd como es mi caso
2026-04-05 13:07:06
0
sj_msq
SJ :
There is no update for 2 years
2026-04-28 04:53:28
2
noel.nathanael
Nathanael Lie :
I think the term "walk" is more suitable than "run" here 😅
2026-04-29 13:54:34
2
mary_of_bethezuba
Mary :
how about an 8gb gpu? double?
2026-04-28 14:16:13
1
deafmogor
deafmogor :
Is it actually work?
2026-04-05 11:17:24
0
ju4n_r94
ju4n_r94 :
Slow asf, but if u need to resume 50 docs in a row, u can do it
2026-04-05 15:07:30
2
indus7ry
natriumchl :
1 token per sometimes😭
2026-04-30 14:41:12
0
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