Friday’s big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab. I’ve been looking forward to this one: 27B is an …
I find what the model was RL trained on is really important. It looks like Qwen 3.8 is mainly focused on agentic coding, so it does really well there. But once you throw it at tasks outside the training then things start to fall apart fast.
yeah the training data is super important, i just hoped that i would fare well inside the home assistant MCP setting :D
Taking your comment about it being overkill as food for thought, i just pulled the 12b version of gemma4 and run that now. I’ll observe if it works just as good for my usecase and that way i just saved like 10GB of VRAM :D
I find what the model was RL trained on is really important. It looks like Qwen 3.8 is mainly focused on agentic coding, so it does really well there. But once you throw it at tasks outside the training then things start to fall apart fast.
yeah the training data is super important, i just hoped that i would fare well inside the home assistant MCP setting :D
Taking your comment about it being overkill as food for thought, i just pulled the 12b version of gemma4 and run that now. I’ll observe if it works just as good for my usecase and that way i just saved like 10GB of VRAM :D
nice