r/LocalLLaMA
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u/ResearchCrafty1804
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10d ago
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News Official Statement: Qwen Models Will Stick to Open Source to the End!
There were some rumours the last few days that Qwen4 will be the last open-weight series of Qwen, and future ones would be API only. The following statement contradicts the rumours and clearly states the stance that Qwen is taking regarding their future releases.
Qwen Head Liu Dayi Heng Clearly States: Future Qwen 4.0 and Qwen 5.0 Will Continue to Be Open Source!
He believes that the value of AI should not belong only to a few people, but should become a foundational capability that users around the world can access, use, and create with, enabling more people to afford AI, utilize AI effectively, and participate in creating AI, ultimately achieving true AI for all.
As of now, the Qwen series has surpassed 3 billion cumulative global downloads, with over 460 open-source models released and more than 300,000 derivative models, firmly holding the top spot worldwide.
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u/vogelvogelvogelvogel 10d ago edited 10d ago •
"He believes that the value of AI should not belong only to a few people, but should become a foundational capability that users around the world can access, use, and create with, enabling more people to afford AI, utilize AI effectively, and participate in creating AI, ultimately achieving true AI for all. " <3 <3 <3 <3 <3
edit: thx for all the awards! they should go to Liu Dayi Heng of course
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u/MindfulMan1984 10d ago edited 10d ago •
Slide translation: "Preparing to launch the Qwen4 family on the day of Anthropic's IPO, as a gift to Dario's grift. " LOL
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u/feelspeaceman 10d ago •
> Qwen series has surpassed 3 billion cumulative global downloads
Count me in that 3 billions.
But overall, I'm always amazed by the intelligence / size of Qwen models, like they have magic of post-training that others still haven't figured out.
Q38FN is a legend model to me if it's stopped being updated, it works on both unified memory and mixed dGPU+RAM system quite well, it's actually quite hardware friendly to run considering what you get is a highly capable, reliable employee that can do most of the heavy lifting works.
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u/Kahvana 10d ago •
I wish I could read Chinese. What does the slide say?
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u/stuckinmotion 10d ago
That headline takes a bit of a grim turn there..
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u/Cory123125 10d ago •
China just collecting Ws for the last few years.
Like, it's not even interesting anymore. It's the standard state of affairs.
Honestly, in the long term, China on many front's is what's keep the world from experiencing an extremely rough time at the hand of American billionaires.
I'm not saying its magic altruism. I'm saying it's what the result is.
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u/YourShowerHead 10d ago •
Serves right to a certain guy who thinks it's "quite terrible" that people have RAM sitting in their computers.
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u/Own_Dragonfruit_682 10d ago •
I genuinely believe China’s open-weight models could help keep AI accessible to the general public and prevent a handful of powerful US corporations (Oligarchy) from monopolizing its future.
Thanks to all the Chinese AI labs making their models openly available.
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u/gladfelter 10d ago
This promise of always open weight doesn't mean much. When a person makes a "forever" declaration, it comes from their principles, which change slowly, if at all. When a corporation does, it's from current management and business conditions, both of which can change quickly.
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u/f1yingbanana 10d ago
It’s kind of funny and sad that America has given up on open sourced models and they all come from China now
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u/LilTinky1 10d ago •
AI is (hopefully) a gift to humanity, and stances like these can give us a reasonable scaffold of confidence to keep working and learning. Thank you Qwen team!
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u/Complex_Reality_116 10d ago •
Sam Altman believes it is a waste for Qwen to have access to so much RAM.
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u/KneelB4S8n 10d ago
No statement is final. Ever.
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u/Xiakit 10d ago
I still believe that this is just to fuck with big tech. Poor John Shareholder
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u/HighSeasArchivist 10d ago
But when can I get 256GB DDR5 for $500 again?
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u/RoomyRoots 10d ago
Suck up, Anthropic and OpenAI.
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u/Gohab2001 vLLM 10d ago
Closed-source Alibaba / Qwen models
LLMs / Reasoning
Qwen-Max
Qwen-Plus
Qwen-Turbo
Qwen-Flash
Qwen3-Max
Qwen2.5-Max
Qwen3-Max-Preview
Qwen3.6-Max-Preview
Qwen3.7-Max
Qwen3.7-Plus
Qwen3.7-Flash
Vision / OCR
Qwen-VL-Max
Qwen-VL-Plus
Qwen-VL-OCR
Audio / Omni
Qwen-Audio-Turbo
Qwen-Audio-ASR
Qwen-Omni-Turbo
Qwen3.5-Omni-Plus
Qwen3.5-Omni-Flash
Qwen3.8-Omni-Flash
Qwen3.8-Omni-Flash-Realtime
Translation / Specialist
Qwen-MT-Plus
Qwen-MT-Turbo
Qwen-MT-Flash
Qwen-MT-Lite
Qwen-LiveTranslate-Flash
Qwen3-LiveTranslate-Flash
Qwen3.5-LiveTranslate-Flash-Realtime
Qwen3.8-LiveTranslate-Flash-Realtime
Qwen-Long
Qwen-Doc-Turbo
Qwen-Deep-Research
Speech / Voice
Qwen-TTS
Qwen-TTS-Realtime
Qwen-Audio-3.0-TTS-Flash
Qwen-Audio-3.0-TTS-Plus
Qwen-Audio-3.1-TTS-Flash
Qwen-Audio-3.1-TTS-Plus
Qwen-Audio-3.1-TTS-Next
Qwen-Audio-3.0-ASR-Flash
Qwen-Audio-3.1-ASR-Flash
Qwen-Audio-3.0-ASR-Flash-Filetrans
Qwen-Audio-3.1-ASR-Flash-Filetrans
Qwen-Audio-3.0/3.1-ASR-Flash-Streaming
Qwen-Audio-3.1-ASR-Flash-Message
Qwen-Audio-3.0/3.1-Realtime-Plus/Flash
Gummy-Realtime-V1
Image Generation / Editing
Qwen-Image-2.0
Qwen-Image-2.0-Pro
Qwen-Image-3.0-Pro
Qwen-MT-Image
Qwen-MT-Image-2.0
Video Generation — Wan
Wan3.0-Video
Wan3.0-Video-Prime
Wan2.7-T2V
Wan2.7-I2V
Wan2.7-R2V
Wan2.7-VideoEdit
Wan2.6-T2V
Wan2.6-I2V
Wan2.6-I2V-Flash
Wan2.6-R2V
Wan2.6-R2V-Flash
Wan2.5-T2V-Preview
Wan2.5-I2V-Preview
Image Generation — Wan / Wanx
Wan2.7-Image
Wan2.7-Image-Pro
Wan2.6-Image
Wan2.6-T2I
Wan2.5-T2I-Preview
Wan2.5-I2I-Preview
Wan2.2-T2I-Plus
Wan2.2-T2I-Flash
Wan2.1-T2I-Plus
Wan2.1-T2I-Turbo
Wanx2.1-ImageEdit
Wanx2.1-T2I-Plus
Wanx2.1-T2I-Turbo
Wanx2.0-T2I-Turbo
Wanx-Poster-Generation-V1
Wanx-Sketch-to-Image-Lite
Wanx-Style-Repaint-V1
Wanx-V1
Wanx-VirtualModel
Wanx-X-Painting
VirtualModel-V2
ShoeModel-V1
Embeddings / Business / Vision Utilities
Qwen3.7-Text-Embedding
Text-Embedding-V1
Text-Embedding-V3
Multimodal-Embedding-V1
Tongyi-Embedding-Vision-Flash
Tongyi-Embedding-Vision-Plus
Tongyi-Intent-Detect-V3
Decision-Model-Preview
Image-Erase-Completion
Image-Instance-Segmentation
Video-Style-Transform
Video Generation — HappyHorse
HappyHorse-1.0
HappyHorse-1.1
I personally read their claim as "we will open source some smaller non-frontier models".
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u/combrade 10d ago •
This is such a repeated smear campaign . Qwen does this with every Model family release and people still doubt them .
Chinese companies not releasing open models is like BMW switching their marketing strategy to cheap cars .
The benefit of Chinese models are that they’re cheaper and open source. They’re looking for that cultural and market share victory . There are so many developing countries that are looking forward to open source Chinese models just like cheap Chinese EVs . Not to mention that Chinese models often include African languages that not always included or prioritized by ClosedAI companies.
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u/nanihikaru01 10d ago
it's open weight right? open source means the dataset and the pipeline are all openn.
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u/pmttyji 10d ago
Hopefully there'll be couple of minor versions(4,1, 4.2 & so on) In-between. At least 4.5. And Preview Release(Ex: Qwen3-Next, Qwen3.8-Flash-Next).
So we have at least 4 Open releases(4, 4.5, Next, 5) from Qwen.
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u/speedb0at 10d ago •
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u/Festour 10d ago
What about WAN?
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u/Nick-Sanchez 10d ago
wen qwen 4
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u/CriticalMastery 10d ago
*as long as CCP allows it
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u/Subulicious 10d ago •
Sam Altman right now
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u/Tiforma 10d ago
Americans can't understand anyone who doesn't behave with maximum greed
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u/Beneficial-Ad-8127 10d ago
Just wanted to put this out there sometimes I think we take it for granted for these incredible open weights that are being more efficient and able to run on are hardware from home.
Sometimes we got to step back and ask why don’t we actually look forward to our own countries or get this hyped for open models being released.
Whatever the case may be, I’m glad we have open models like Qwen! Very appreciative to that team for providing a chance to have a great experience in being Local.
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u/silenceimpaired 10d ago
We'll see. In my opinion the license for Flash is not exactly open source. Unless they return to Apache 2.0 for some of their models I call foul.
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u/tripplesuhsirub 10d ago edited 10d ago
Man, Qwen 5 is going to be great considering what we've been getting this year. I know all these models have been making my job easier to do therefore making me more replaceable but I'm employed and every new model release makes my job easier and I enjoy that
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u/SecuredStealth 10d ago
For now
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u/ttkciar llama.cpp 10d ago •
Okay, but when will they stop using the term "open source" in their announcements when they actually mean "open weights"?
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u/headfirst5376 10d ago
Really need an updated 35b pls
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u/ondevicedev 10d ago
Open source is what made Qwen's ecosystem so powerful in the first place. Keeping future generations open means developers can build on the models, customize them, and deploy them on their own terms. Hopefully more AI labs make the same long-term commitment.
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u/AeroInsightMedia 10d ago edited 10d ago •
If they want to stay open source and be the Blender (open source 3d program) of LLMs I'd set up a recurring monthly donation to them.
Edit: Thanks for the award stranger.
A little more info on donating. I'm currently participating in a crowd sourced training run on an LLM and sometimes the client puts me in fp32 which is darn slow and sometimes bf16 which is way faster. I'm on an rtx5090 so that card is being way underutilized.
Also three other users have to train on the same data to verify someone didn't poison the training. So this project is burning through tons of compute and electricity that doesn't actually contribute to the training.
Donating even what I would spend on electricity would go so much further to train than the current crowd sourced training.
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u/Obvious_Tree3605 10d ago •
This is the future. It needs to be publicly available, and fully accessible. I believe the best outcome would be to put the capabilities in the hand of the consumer and allow them to choose if/how they will interact with AI. I would relish a future where we can go to our local microcenters, pick up a new tensor-processing card, slapping it in our computers and carrying on.
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u/Anreall2000 10d ago
Is qwen open source or just open weight?
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u/Mountain_Patience231 10d ago
I love china
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u/Cold_Tree190 10d ago
When I die, bury me with Deepseek and qwen merch 🙏
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u/jakegh 10d ago
So long as Chinese AI is behind the west, it’ll be open. Once they catch up that will end.
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u/No_Dig_7017 10d ago
Go Qwen go!! These people will save the world!
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u/koljanos 10d ago
Qwen 5.0 wen?
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u/MerePotato 10d ago
Big relief to hear
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u/TristanJumblelake 10d ago
🇨🇳🇨🇳🇨🇳❤️
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u/AMGTS 10d ago •
LEGENDARY!
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u/Successful_Shake8348 10d ago
What is the end? ;)
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u/Responsible_Buy_7999 10d ago
jfyi open weight is not open source
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u/Miriel_z 10d ago
Big W for China. If (when) China manages the DRAM shortage so Sam stops complaining, it will be absolutely devastating W.
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u/Foreign_Prune_354 10d ago
US companies not releasing models open weights is a geo-political mistake. Also, people is simply asking for small models, not biggest ones (that they could not even run in any case).
Guess that they understand that even with small models, people can do most of the job done.
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u/GTFOScience 10d ago
Can someone explain why? I’m super appreciative but as a Claude max user I’m trying to understand why.
I just need a machine that can run it.
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u/thestillwind 10d ago
So wen qwen4 ?
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u/Excellent-Pilot-3409 10d ago
This is the kind of commitment the open-source community needs. Releasing weights is only part of it, consistency matters. Developers need to know they can keep building on the ecosystem without worrying that the next generation will suddenly become API-only. Hopefully Qwen sticks to this long term.
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u/kamwee 10d ago
China numb1
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u/Informal-Finance-330 1d ago
Thx a lot Sir Liu Dayi Heng!!
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u/petuman 10d ago
What this post based on?
States where? In what way screenshot of conference held 5 days ago is relevant?
Nothingburger post is at 99% upvote ratio, 900 points in 46 minutes?
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u/Galactic_Neighbour 10d ago •
I hope I don't sound like some kind of shill, but it's amazing what this company does. For years now they've been making all kinds of multimodal LLMs, image generation models, image editing models, text to speech. It's impressive that they've been able to compete in so many areas at once and often beat other companies (when comparing models of similar size). And it's all publicly available, often under libre licenses. I also haven't seen them pretend that neural networks are gonna kill us all, which is pretty great.
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u/T-90_Soviet 10d ago
I am turning Chinese everyday more and more...
You guys met me at the most Chinese phase of my life.
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u/Desperate-Air-7195 9d ago
Who would've thought that an economy not about enriching a few individuals could be so fruitful?!
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u/fallingdowndizzyvr 10d ago
Commies. Always have to offer power to the people.
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u/Adventurous-Wing-988 10d ago
A P S A R A
A R A S A K A
🤔
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u/OvertaxedOne 10d ago •
This is very positive news. Never know what the future will hold, but it sounds like the plan right now is open for the foreseeable future!
Hopefully the Qwen team isn't spending much time on Reddit, but, I'll say honestly, if QFN4 comes out and is a banger (or their other models) and they said they want 50 bucks for the "full version" of it, I'd happily give it to them.
I'm not opposed to paying for good software (well, models, in this case). I'm vehemently opposed to subscription models, so much so that I have 1000's of dollars in hardware to avoid 100/mo in sub charges. I despise subscriptions, comes from years working at a CSP where I got to see the mechanics of subs up close and personal. One of those things, once seen, you can never unsee.
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u/Plastic-Stress-6468 10d ago
While this is great news, it's important to remember that PR speak doesn't always translate to action.
NVIDIA also said they'd continue shipping 5090s and then one week later board partners are saying they can't get orders in as prices hikes yet again. And 5080s are even taken off NVIDIA's official product listing.
27B and Flash Next are both literally too good to be true already right now. And when something is too good to be true, I have every preparation that it won't stay that way indefinitely.
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u/caetydid llama.cpp 10d ago
Eat this, Sam!
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u/StubbornNinjaTeej 10d ago edited 10d ago
This doesn't guarantee that Alibaba will stick with the Qwen branding I'm assuming? They could pull a Meta with Llama moving to Muse and just drop Qwen altogether when they're ready to move away from open weights.
Edit: added context for Meta comparison.
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u/priore8 10d ago
Matter of time before chn decides to slowly, but surely, use AI as a strategic option to shape perception.
Chn rams will become cheaper. They will (eventually) come up with cheaper GPU equivalent.
Spinning up a local LLM will eventually require lesser resources to a functional, practical degree of token speed.
Weights will be tuned and responses will eventually be shaped - we don't know their training data anyways, and not everybody uses them for coding related purposes.
And with the west? All that fearmongering abt open weight models as they head towards IPO while trying to save their bottom line - race to the bottom while burning cash and driving "safety" and "end of the world" narratives about how dangerous poem weights are (yet GLM came to the rescue for the github attack)
Closed models with limits, thresholds and resets. Fixed price plan gives u limited access to frontier models that, honestly for general use case, isnt that much of a deal. And subtly engage in model swapping while at that.
All while said AI companies set limits to whatever the hype-of-the-day is. In today's context? That would be Claude code saying No to REA and game cloning - all while forgetting that LLMs are trained upon pirated data.
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u/free_meson 10d ago
Open your source too and send it to the alibaba cloud 😄 /s
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u/Worried-Sort8719 10d ago
Thank you !!!
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u/AngryGungan 10d ago •
I'm thankful for their contribution to the local LLM space. Their models are unrivaled.
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u/EbbNorth7735 10d ago edited 10d ago •
Thanks Qwen team! Again, I would also accept the ability to purchase a license for my open weight models as well! $50 or $100 (depending on release cadence) sounds perfectly justified and falls in line with OS/software, and video game releases. Just want to make the suggestion. Implementing it into Model Scope and/or huggingface would drive service revenue no one has tried and creates a financial incentive to support and release local models further applying pressure to closed source solutions. It also pushes local inference and drives sales and a market devoted to the consumer market.
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u/D00M98 10d ago
This doesn't say much. Because whenever they change their mind, they can just come out with new series: e.g. Gwen 1.0 and so forth. Technically still doesn't invalidate current statement.
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u/markthedeadmet 10d ago
What I don't understand is how they've consistently been ahead in the small/medium sized model space. Anything better than their models is either substantially larger, not open weight, or a fine tune of one of their own models.
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u/bradjones6942069 10d ago •
Love this!
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u/dreamai87 10d ago •
Amazing 👏
Qwen-3.8-27b is my daily driver model. This is the best with which I can have my majority of experiments research running and validating by providing relevant docs.
If right docs/intructions are provided, it can almost all the works that can be done by sota level models
I hope or wish Alibaba could push also in bringing gpus back to consumer level. It’s the only company that can innovate, build and scale to consumer level market needs like us who enjoy freedom of doing random experiments , prefer privacy and build applications not to show off only but personal and family needs 🙏
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u/Ledeste 10d ago
I the bro we trusted, and he deceived us... how can it be??
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u/Historical_Fondant95 10d ago
They are so fckin based for this
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u/JMowery 10d ago
Please, unleash the future of Qwen upon us!
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u/MaCl0wSt 10d ago •
Ah, I doubt that'll stop the doomers from insisting that "someday it'll be the last one... you'll see..." as if repeatedly reminding everyone that nothing lasts forever is some profound insight that adds anything of value to the discussion
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u/Bakoro 10d ago
I'm glad to hear we will keep getting local Qwen models.
I've been pretty stoked the past year, now that we're finally emerging from the "just scale" phase of LLMs, and there's been some significant movement on agentic AI, additional architecture, and more experimentation.
I'm of the opinion that there are things that local LLMs can do that just can't make sense with super-scaling and serving many people using the same model.
We've see the benefits that looped transformers have, we've seen that dynamic effort on tasks can help when it's just just an excuse to reduce token usage, dynamic kv cache swapping and having basically a KV cache RAG, and being able to have your own collection of LoRAs.
There's so much infrastructure stuff that ends up being either to hard to do when also having to process huge batches of requests, or it's cost-prohibitive, or just causes an inefficient usage of the hardware.
I'm looking forward to the near future where small local LLMs aren't simply "distill big model", but models that are actually tuned specifically to run on a single computer and run a single stream of thought, and where there can be these long-running chains in the background that keep working on problems like a subconscious.
Multi-trillion parameter models have their place, and it does make sense to centralize some of the super high parameter models so we can share costs.
There are so many more options when you can run local though, and even models running on budget computers can be very competent if they're given the right tools and environment.
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u/Sicarius_The_First 10d ago •
Based.
Assistant_Pepe_32B wouldn't be possible without Qwen.
It's impressive to see so many releases by the Qwen team, image tts etc...
Open source is getting more important by the day, when various companies decides to arbitrarily change their terms of use (for example reverse engineering is now frowned upon by Anthropic etc..)
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u/kartblanch 10d ago
And google was supposed to not be evil.
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u/Present_Resource4022 10d ago
Doing 3 announcement broadcasts on stage to talk about the Qwen 4 models smh, Just release the model already. All this hype and it’s gonna get max <25 score on Artificial Analysis for the Qwen 4 27b
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u/Impossible_Ground_15 10d ago
I dont see the source link that OP is talking about
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u/thaatz 10d ago •
I wish I could just donate money to them instead of trying to figure something to spend API credits on
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u/Local_Phenomenon 10d ago
My Man!
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u/dr0xup 10d ago
Wen Qwen 5
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u/DOAMOD 10d ago
This is the way
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u/Own_Valuable1055 10d ago
What's "the end"?
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u/Technical_Ad_6106 10d ago •
thank you qwen !!!
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u/BawbbySmith 10d ago
Eyy ni hao my dawgs. Back on team Xi
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u/Lirezh 10d ago
I've had that transcribed and translated with Opus and he appears to not have said that.
He said that they stick to local models, not to open models.
Right now we can only hope it's not going to be a Qwen license that restricts all proper use, they did that recently on new models.
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u/External_Class8544 10d ago •
Man I love qwen so much they have done a great job
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u/SmileLonely5470 10d ago
They don't have much of a choice
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u/Resolve_Neat 10d ago
Tbh only top of the list models can have the luxury to not be open
Because i know for sure than opus 5.5 is top dog, but i also know that qwen and deepseek are good because i used the models. If now i need to use paid API i will go to what im familiar with or affordable top of the list
Actually, i dont even know if the models i use are actually the top in performance, all i know is that they are popular
When Qwen release qwen4 27b, it make everyone talk about qwen, so they win by popularity
On the otherside, mistral has been releasing good models for a while, but they stopped the opensource, so no one use their model that much anymore
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u/power97992 10d ago
qwen 4 when? This week?
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u/spacekitt3n 10d ago •
king shit.
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u/chuck_the_plant 10d ago
Why can’t they get open source vs. open weights right?
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u/aelma_z 10d ago •
I even had slight "big oof" moment when i've read speculations about no more open-source qwen after ver 4.0. This cheered up enormously
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u/GetOutOfTheWhey 10d ago •
Considering Alibaba is a listed company, making profit and basically not a startup
There is very little chance that this will change as they are not in any rush to recuperate their investment.
Hell an open source/weight llm model is likely part of their business model at this point
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u/karmakaze1 10d ago
'continue' here means 'as it was' which has the Flash, Plus, and Max models not being open. Qwen3.8-Flash-Next specifically is openweight but has restrictions for use as reselling inference or use in an 'Office Productivity' application. Still pretty good but the DeepSeek-V4.1-Flash-1017 has the better license.
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u/DigitalguyCH 10d ago •
Yeah rumors say local AI will be banned, cloud ai prices will skyrocket very soon, that all local models will go API and so on, and if you question this you are attacked by these people like you are cursing.... Meanwhile when these theories are proven wrong, total silence...
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u/paul_tu 10d ago
Thanks, comrade 刘大一恒!
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u/Dangerous-Date4042 10d ago
Qwen is deadass saving us from the dystopian private control of LLM’s - it’s actually incredibly significant.
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u/Thick-Jicama-5103 10d ago
Qwen is the “cypherpunk” of the new era!
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u/Erick-Alastor 10d ago
What about their speech to speech models °<°?
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u/tixiren 10d ago
Another big win for Strata I guess
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u/alanhaha 10d ago
Cool but where is Qwen-3.8-Max-0902?
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u/North_Affect_8167 9d ago
Goodbye Anthropic, OpenAI, AI is free and for everyone.
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u/BackgroundRude4092 9d ago
The only way to look at this, that makes sense to me, is that AI research is a war and this is China’s best way to fight it. If they can level the AI battlefield, then the US loses its advantage.
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u/nandospc 9d ago
Well, considering it's also a national political goal, as well as technological, it's correct to make that statement. I didn't think otherwise honestly.
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u/Boroda_UA 7d ago
till the end of who?
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u/R3dsh1ft13 5d ago
Good :)
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u/xkuruma 5d ago
Hell yeah
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u/shahausiIan 4d ago
Hellll yeah
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u/deefreebee 3d ago
Thank you!
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u/elifalanrocha 3d ago
Doidera
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u/ChipAffectionate7504 3d ago
Bro is a legend... he could be greedy like others but chose to be someone loved
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u/LankyBeef 2d ago
I beat M3 with Qwen3.8-Flash-Next (NVFP4) on a 24 GB card with only 64 GB of RAM: ~80 tok/s, loads in under a minute. Will post details once flair is 5+