https://qwen.ai/blog?id=qwen3.8
The model weights will be open-sourced on Hugging Face and ModelScope next week — stay tuned.
I’m hoping they also release a new 35b a3b, for us VRAM poors, a new 9b would also be great!
https://qwen.ai/blog?id=qwen3.8
The model weights will be open-sourced on Hugging Face and ModelScope next week — stay tuned.
I’m hoping they also release a new 35b a3b, for us VRAM poors, a new 9b would also be great!
It has indeed been really good, so much better than similarly sized models a few years ago. Would be interesting to know how far it is from what is possible to fit into a 27b model.
I’m using Gemma4:26b as of right now. Only using it as a conversation agent in home assistant with MCP tool usage.
Has anyone compared gemma and qwen in combination with home assistant and has an opinion?
Gemma is probably good for that, as long as it’s consistently succeeding at the tool calls.
I’ve found Qwen 27b better adheres to rules and tool calls, but that depends on lots of things.
One that a bit of a dark horse is Arcee Trinity Mini (26B-A3B)
https://huggingface.co/arcee-ai/Trinity-Mini-GGUF
On paper it’s not in the same bookclub as the others (unless that bookclub involved eating books) but it is obedient with tool calls IMHE