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Qwen 3.8 27B

huggingface.co

611–620 of 848 posts

Re: Qwen 3.8 27B

#611
post #419

Absolutely the best pelican I've seen from a model that runs on my laptop: https://tools.simonwillison.net/markdown-svg-renderer#url=ht... Bicycle is the right shape. Pelican beak is excellent. Nice background. Most importantly, the pelican has one leg on each side of the bicycle - that's very rare. (No chain on this bicycle though - in the reasoning trace it says "already chainstay... skip chain detail; maybe a smal…

It's definitely trained on generating SVGs. Not that they trained on the pelican prompt itself, but probably a more general RL step that has it generate SVG and a stronger vision model judges it.

It's up to you if that counts as benchmaxxed.

Re: Qwen 3.8 27B

#612

Earlier quoted context omitted.

Yes yes, oh god yes. They also spread FUD in the form of terrible recommended sampler settings. If you're using llamacpp, turn on top-n-sigma with sigma of 1, turn off top-p/top-k. You'll thank me later.

For those us us who don't know, what do those parameters do and why are they better?

[deleted]

Re: Qwen 3.8 27B

#613

Earlier quoted context omitted.

Yes yes, oh god yes. They also spread FUD in the form of terrible recommended sampler settings. If you're using llamacpp, turn on top-n-sigma with sigma of 1, turn off top-p/top-k. You'll thank me later.

For those us us who don't know, what do those parameters do and why are they better?

[deleted]

Re: Qwen 3.8 27B

#614
post #502

Earlier quoted context omitted.

It did a pretty outstanding job on that: https://tools.simonwillison.net/markdown-svg-renderer.html#u... This took 56 minutes! - but it didn't have exclusive use of LM Studio, I ran a few other test prompts while it was working. llm -m lmstudio/qwen/qwen3.8-27b 'Generate an SVG of a pelican equipment case'

That is pretty good! It's interesting it chose orange, because that's actually a somewhat rare color for pelican cases. I would say 95% of the ones going around the world right now are either black or FDE (flat dark earth) tan colored. There are some orange ones, for sure, if you google image search "orange pelican case", people use them for emergency/first aid supplies or electronics. But only the smallest ones are…

I've been getting ads in my Instagram for http://colorcase.com. They add colors and wheels to cases and I'm sharing them because you're right, most of them aren't orange. But they could be!

Re: Qwen 3.8 27B

#615
post #550
post #518

Credit where it's due. Qwen 3.8 27B is only the second local model after Gemma 4 that managed to correctly reason through one of my private benchmarks. It took 5x as many tokens to do it and 12m30s with MTP enabled, but it did do it. Gemma 4 reasoned through it more implicitly, while Qwen 3.8 reasoned more explicitly. Laguna and Muse Glimmer failed hard on it, though they're useful for other tasks. The VRAM usage see…

I was quite impressed by Muse Glimmer, and while I am sure people will observe that it is less good on benchmarks, my first experiences with this new 27B have been somewhat exasperating, whereas testing Muse Glimmer was rather fun. I have not tested either in an agentic context, mind you.

Glimmer works really well as an "explore" agent model (like in Opencode.) It seems to be extremely efficient at searching and collating that info, and executing commands.

From my testing so far, Qwen 3.8 is better at code but it tends to meander and take forever if it has to look in a lot of places. Glimmer will use like ~1k tokens to formulate a plan and Qwen 3.8 will routinely go over 10k

Re: Qwen 3.8 27B

#616
post #605
post #601

Earlier quoted context omitted.

I stopped using Fable and Opus 5 because I literally can't understand the output. The waffle is so intense it no longer makes sense. I don't understand who is using those to get real work done. I'm using kimi-k3 on a real high level dev & analysis task at the moment (with Gemini flash for fast implementation) and it is fantastic. I think we have passed the point where frontier intelligence is commoditized.

Curious what level of thinking you have been using as well. Found that lowering it actually gets me better results.

I'm just using the defaults.

Re: Qwen 3.8 27B

#617
post #604
post #601

Earlier quoted context omitted.

I stopped using Fable and Opus 5 because I literally can't understand the output. The waffle is so intense it no longer makes sense. I don't understand who is using those to get real work done. I'm using kimi-k3 on a real high level dev & analysis task at the moment (with Gemini flash for fast implementation) and it is fantastic. I think we have passed the point where frontier intelligence is commoditized.

just curious; which fable/opus versions are you using? Fable-1m-max-thinking output, despite being incredibly slow and expensive, feels like it bucked a trend towards superficial loquaciousness in their models that had been building since 4.6. I'm a bit of a luddite when it comes to upgrading models, fable was the first one to make me give up Opus 4.6-1M-max.

I'm just using the defaults, through Claude.ai on the web.

Re: Qwen 3.8 27B

#618

Earlier quoted context omitted.

Excuse me, but thats a direct link you've just sent. I asked where I can find the links. I like to believe in the source of truth. They shared a lot of links, I'm struggling to find yours. Where did yours come from ? Who is Unsloth AI? Have they modified the model ? Is this really the source of truth ? Do you see how steep the barrier for entry is to do anything right ? unslothai is not a name qwen has ever used. So…

> Excuse me, but thats a direct link you've just sent. I asked where I can find the links. I like to believe in the source of truth. You asked where to find the GGUF files of this model for direct download and I provided it. Almost all useful model files that can be downloaded are hosted on Huggingface. > They shared a lot of links, I'm struggling to find yours. Where did yours come from ? I went to Huggingface, went…

> I went to Huggingface, went to the Unsloth org, as they tend to be the best, went to the Model page, and went to the "Files and versions" tab.

"I went to youtube, gmail, ycombinator, deliveroo, then I went to another site I randomly chose, because they're the best, duh"

Okay.

> Unsloth AI is a very popular, highly reputable organization that takes upstream model files

And How am I supposed to know that arriving to huggingface as a new user? Enlighten me.

> Qwen also provides models in GGUF format on Huggingface

Cool.. Why don't they share em because I genuinely cant find em, I'm dumb.

> Your attitude and unwillingness to even try and learn on your own when people have tried helping have burned my good will

Well, I'm willing, but not from people who I might burn good will. Gracious. You do you.

Re: Qwen 3.8 27B

#619

Earlier quoted context omitted.

That is pretty good! It's interesting it chose orange, because that's actually a somewhat rare color for pelican cases. I would say 95% of the ones going around the world right now are either black or FDE (flat dark earth) tan colored. There are some orange ones, for sure, if you google image search "orange pelican case", people use them for emergency/first aid supplies or electronics. But only the smallest ones are…

I've been getting ads in my Instagram for http://colorcase.com . They add colors and wheels to cases and I'm sharing them because you're right, most of them aren't orange. But they could be!

Wow, those are expensive. I've been buying pelican 1510 and similar from eBay and b&h used/refurb. The harbor freight pelican knock off that is their 3800 and 4800 product numbers are also not bad. It's like 85% as good as a real pelican for 40% of the price.

Re: Qwen 3.8 27B

#620
post #518

Credit where it's due. Qwen 3.8 27B is only the second local model after Gemma 4 that managed to correctly reason through one of my private benchmarks. It took 5x as many tokens to do it and 12m30s with MTP enabled, but it did do it. Gemma 4 reasoned through it more implicitly, while Qwen 3.8 reasoned more explicitly. Laguna and Muse Glimmer failed hard on it, though they're useful for other tasks. The VRAM usage see…

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