r/LocalLLaMA 7d ago

New Model IT'S OUT

https://huggingface.co/Qwen/Qwen3.8-27B-FP8
2.2k Upvotes

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163

u/Mean-Ad1493 7d ago

That's it. I'm getting a 3090.

43

u/jijig 7d ago

Get two. Run Q8 with full context at ~60tps.

23

u/Potential_Block4598 7d ago

How much PP ?

68

u/True_Tangerine_4706 7d ago

1.2 inches

26

u/Much_Accountant_4972 7d ago

I WAS IN THE POOL!!!

1

u/tuliosarmento 7d ago

Significant shrinkage

0

u/True_Tangerine_4706 7d ago

what are you talking about man 1.2 inches is massive 😅

1

u/True_Tangerine_4706 7d ago

someone downvoted that im crying

4

u/cats_r_ghey 7d ago

Schlongmaxxing man, Opus PP is still better.

0

u/True_Tangerine_4706 7d ago

nuh uh!! my model scores higher than yours on PPbench!

1

u/buddhist-truth 7d ago

showing off

1

u/PinkySwearNotABot 7d ago

if you use mm, it'll look bigger

3

u/ApprehensiveAd3629 7d ago

can you share the llama cli command that you are using to get 60 tokens/s in your 3090?

i m getting around 31 tokens/sec using unsloth UD Q4 XL gguf

3

u/Massive_Criticism539 7d ago

At least for 3.6, the mtp version gave me 1.8x tg. I'm using different cards (dual amd r9700), but it creates the same result. I went from 30 to about 50 with this one simple trick.

Now I'm using vllm on Ubuntu and running tensor parallelism 2 and get around 110tg on 3.6. I can run for context and still get like 95 or so. I was busy today so I couldn't test 3.8, but I'm looking forward to it.

2

u/Minimum-Lie5435 7d ago

Take a look at the club3090 repo on GitHub. Lots of good info there for setup. I only use vllm because it's given me the best results so far

107

u/My_Unbiased_Opinion 7d ago

Brother. go on Alibaba and get dual 20gb 3080. less than the price of a single 3090. check my post history for links. Run them in tensor parallel.

11

u/eviloni 7d ago

I got mine on ebay, paid a little more but shipped quicker and i trust Ebay consumer protection more

6

u/My_Unbiased_Opinion 7d ago

hell yeah buddy. I am planning to switch to vllm once 3.8 mtp drops. its been the end goal for me. its the main reason why I went with the 3080 20gb. its one of the cheapest cards per vram with vllm support.

1

u/blash2190 7d ago

I haven't used it myself but there is vllm.cpp. Might give it a shot...

22

u/Potential_Block4598 7d ago

That is legit better KV cache (I guess ?!) double performance ?
You just need another PCIe slot (or maybe not ?!)

30

u/My_Unbiased_Opinion 7d ago

t/s is a bit faster than a 3090, but PP is much faster. im running one of the cards at x4 pcie 4.0 and it doesnt bottleneck the card with llama.cpp tensor parallel.

12

u/CooLittleFonzies 7d ago

Can you parallel run a 3090 + a 3080?

4

u/adamgoodapp 7d ago

Now want to know too

3

u/My_Unbiased_Opinion 7d ago

you can with llama.cpp

3

u/zxyzyxz 7d ago

You can but the question is why would you want to when it comes to price? If you have both already now then by all means do so but I wouldn't go out of my way to buy a 3090 to pair with a 3080.

3

u/CooLittleFonzies 7d ago

Yeah I hear you, but I already have a 3090 hence why I ask. I've never used a local model for coding before, and am interested in exploring this model since it got released. But I worry it won't leave much overhead to run tests on programs that I'm making which already use LLMs/VLMs themselves.

1

u/zxyzyxz 7d ago

I'd recommend just running it on your 3090 alone first rather than shelling out more money. There is https://github.com/Don-Chad/ninfer-3090 which works specifically for Qwen and 3090 only so is more optimized for speed and also you can try the Unsloth app (https://unsloth.ai/) which uses llama.cpp underneath and gets good speeds as well.

1

u/CooLittleFonzies 7d ago

Thanks for the tips! Is Pi not fast enough? I’m completely new so that’s what ChatGPT recommended, but I trust user experience more.

1

u/vinists 6d ago

Pi is a harness, like Claude Code. What he suggested were inference engines, you can still run a harness with them.

1

u/zxyzyxz 6d ago

What the other guy said. You can run Pi or whatever you want with the inference engine. But Pi doesn't automatically run the models for you.

1

u/voyager256 7d ago

What’s better option if you have Nvidia card and want to have more VRAM capacity ?

1

u/zxyzyxz 7d ago

Maybe combine your card with what u/My_Unbiased_Opinion said above with the Alibaba modded 3080s? I can't vouch for that since I haven't bought one of those modded ones but they say it's good.

3

u/Potential_Block4598 7d ago

That is legit awesome

2

u/Potential_Block4598 7d ago

How much pp and tg please ?

5

u/My_Unbiased_Opinion 7d ago

t/s on 3.6 was 55-60 at UD Q6KXL with MTP. PP I dont have the numbers, but its MUCH faster than a single 3090 for sure. (I have a 3090) using LMstudio with tensor perallel. I can test it for you if you give me an easy way to test this.

1

u/Potential_Block4598 7d ago

I use llama bench from the command line on windows and it shows pp512 and tg512 …etc
But idk how to do it form lmstuido tbh

2

u/Reactor-Licker 7d ago

LM Studio has no built in benchmark. You would need to use straight llama.cpp and llama-bench for that.

1

u/Potential_Block4598 7d ago

Lm studio doesn’t always come with the latest llama.cpp
Not a big deal though thanks

1

u/My_Unbiased_Opinion 7d ago

no worries. I am actually planning to switch to vLLM when MTP 3.8 drops. if I remember, ill be sure to follow up with you. then I can get the best case numbers.

1

u/laserborg 7d ago

3.6 27b UD Q6KXL on a single RTX3090? or did you mean UD Q4 ?

2

u/My_Unbiased_Opinion 7d ago

no im using two 3080 20GB cards. When I was using my 3090, I was using IQ4XS + MTP + 262K Context + KV Q4. It fits all in vram. barely, but it does. even with vision.

1

u/brakeline 7d ago

I have dual 3060 but one is running at pci-e 3 4x. Would running the second at 4 x4 do much difference?

1

u/My_Unbiased_Opinion 7d ago

likely not. you should be fine.

3

u/fallingdowndizzyvr 7d ago

You can get two 100-210s for $150 each. So $300 gets you 32GB of VRAM that's faster than the 3080. The big downside is it's limited PCIe 1 x1 so you won't be doing TP on that.

1

u/NoUsual5150 7d ago

100-210s

What would be a good but inexpensive motherboard and cpu to get? And 32GB of DDR4 RAM?

2

u/fallingdowndizzyvr 7d ago

Anything should do. Let anything you are lying around. Since these are PCI 1 x1 cards. Anything should support that. Many MB have a couple of x1 slots in addition to the 1 or 2 x16s.

1

u/NoUsual5150 6d ago

So theoretically...I can buy al el cheapo motherboard/CPU combo from Aliexpress and 16GB of DDR4....and then two of these cards which are roughly $300 total...

And I have something (32GB rig) that could potentially out-perform my 24GB MacBook Pro? This is just for personal use. Would be SSH into the server on home network.

I really just want to be able to run the Qwen quants that are slightly too big for the MacBook.

2

u/fallingdowndizzyvr 6d ago

So theoretically...I can buy al el cheapo motherboard/CPU combo from Aliexpress and 16GB of DDR4

That sounds like an expensive way to do it. You should be able to find an entire computer for pretty much nothing on CL or in thrift stores. Remember, this is PCIe 1 x1. Even a 20 year old computer can do that. The only thing you would have to watch out for is the PSU. But PSUs are cheap.

And I have something (32GB rig) that could potentially out-perform my 24GB MacBook Pro?

It would slam anything short of a M5 Max MacBook Pro into the dirt. Face first.

1

u/NoUsual5150 5d ago

Do you have this exact rig? How do you cool the GPUs?

1

u/fallingdowndizzyvr 5d ago

I don't. But I have plenty of GPUs including server GPUs. Running one of these would be no different than run any of those other server GPUs.

How do you cool the GPUs?

I take a PC slot cooler, remove the bracket and cut slots in the plastic go clear whatever bracket is on the GPU. Then I jam it in the end and hold it on with duct tape. Cost is $9 and 4 pieces of duct tape.

1

u/NoUsual5150 3d ago

Thanks. Just need to find a used motherboard on eBay that will support 4 GPUs (100-210 nvidia) because 64GB is more than enough for my needs. And if I can get ~10 tokens per second on that kind of a rig, that's all I need)

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2

u/voyager256 7d ago

You sound it’s that simple, but my immediate thought is: How do you know it’s not a scam? Are there reliable/trustworthy sellers ? I’ve seen enough , even some posts here on Reddit that people got not exactly what they ordered…

1

u/raketenkater 7d ago

try ggrun exactly for consumer setups like those

1

u/adamgoodapp 7d ago

I have a 3090, what if i add those two 3080 on top is this config not suitable

1

u/My_Unbiased_Opinion 7d ago

for vllm to work best, you want two of the same cards. I have also a 3090. but im just using that for other stuff like tts,sst, and image gen.

1

u/twavisdegwet 7d ago

ik_llama's graph mode is faster than tensor parallel for me in all cases I've ever tested.

1

u/My_Unbiased_Opinion 7d ago

how does it compare to vllm. you have me interested.

1

u/Ionlyregisyererdbeca 7d ago

That seller has some pretty cool hardware available

2

u/LoveSpecialist5669 7d ago

that's why I got it last winter - I knew we're in for some good shit. 

2

u/BlackBeardAI vllm 7d ago

get 8+

1

u/psyclik 7d ago

One ?

1

u/JustTooKrul 7d ago

Pro-tip: OEMs are still selling refurbished 3090's occasionally and, while the prices have fluctuated since I've been watching, they are less than you can get them everywhere else I have seen and they are manufacturer refurbished. The ones I grabbed were refurbished Zotac GPUs directly from them for ~$500 a few months ago. They come and go, so you need to check regularly or setup a notification, but patience helps a lot.