42
I dropped Qwen and Gemma for a 27B model that runs smoothly on my 8GB graphics card - Bonsai 27B
(www.xda-developers.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 13 Oct 2026
42 points (86.2% liked)
LocalLLaMA
5654 readers
1210 users here now
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
Get support from the community! Ask questions, share prompts, discuss benchmarks, get hyped at the latest and greatest model releases! Enjoy talking about our awesome hobby.
As ambassadors of the self-hosting machine learning community, we strive to support each other and share our enthusiasm in a positive constructive way.
Rules:
Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
founded 3 years ago
MODERATORS
Benchmarks like SWE-Bench Pro are pretty close to Qwen 3.8 27B. I suppose this model is about what a Qwen 3.8 35b-a3b model would be. Alibaba appears to have moved onto Qwen 4 and haven’t announced any 35b-a3b models, so I’m glad this exists.
I don't really understand your comment? ~~Qwen3.8 27b is qwen4 architecture as a pre-release.~~ apparently i was wrong here, it's still on the 3.5 architecture.
A 27b dense model is really difficult to compare to a 35b a3b Moe model. I tried to run qwen3.8 27b on my 8gb card and ok it runs technically, but in no way is it viable or does it come close to ornith 1.5 35b a3b, mostly because to run qwen3.8 27b, I have to choke it to almost useless levels by running an aggressive quant like a 1, 2, or 3 bit quant, and even then it doesn't run as fast.
FYI: Qwen3.8 27B is still a Qwen3.5 architecture model (
Qwen3_5ForConditionalGenerationin config.json); Qwen3.8-Flash-Next -- a different model, despite the similar name -- is the Qwen4 preview (Qwen4ExpForConditionalGeneration).I believe what they're saying is that since we didn't get a MoE around the 35B-A3B size for the Qwen3.8 generation of releases that this model might be able to fill that niche -- i.e. a better model than Qwen3.6 35B-A3B while still being less compute intensive to run than Qwen3.8 27B.
AHH cool, I didn't thought both 3.8 models were on 4 architecture, I'll edit my previous comment 👍
Yeah, exactly, and sorry to everyone if I was unclear. I’m not holding out hope for a Qwen 4 35b-a3b either, so it’s good to see a model that comes close to 3.8 27b in benchmarks and I hope they stay competitive with Qwen 4 27b as well.