qwen 3.6 27b runs on an AMD AI MAX 395+ fairly well.
I have one in a laptop with 64gb of ram that I bought before things went too crazy for $2200. Not sure how much one is now.
Anyway, you don’t need a datacenter and that’s why I personally think the current AI “boom” is a bubble around a nascent tech that’s not really ready for lots of the situations it’s been sold for. 🤷♂️
I haven’t really found that to be the case for my uses, but getting much faster decode is really useful for me… Have you tried running the MoE model at a higher quant? I usually use Q6_K.
I run both of them at Q8, unquantized KV cache and same settings.
35b does really well at most tasks but once the dependencies get complicated and the tool calls reach into the hundreds, 35b struggles where 27b still excels.
So generally I use 27b unless I need it fast, then I swap to 35b or 122b depending on what I need.
why I personally think the current AI “boom” is a bubble around a nascent tech that’s not really ready for lots of the situations it’s been sold for
Basically this. On top of that, we not far off from the point where you can run something like claude localy. Obviously we don’t have access to claude itself, but we do have access to local big models that come close to it in performance, like kimi-k3 ~500gb on average, deepseek ~1tb or glm5.2 (smallest quant starts from 228gb)
And it may sound like a lot, but it isn’t in reality — most amd cpus from am4 able to address 128gb of ram, while new am5 can do 256gb. Hell, my gaming PC have 128gb of DDR5. So we already technically can run some of those models on a regular office PC. Obviously, due to ram crisis, it will cost you a fortune, but it’s not like it impossible. Furthermore, demand for gpu with a lot of vram will sooner or later be satisfied, so it just matter of time when average consumer will be able to do it. And well, why would we need dedicated data centers then?
qwen 3.6 27b runs on an AMD AI MAX 395+ fairly well.
I have one in a laptop with 64gb of ram that I bought before things went too crazy for $2200. Not sure how much one is now.
Anyway, you don’t need a datacenter and that’s why I personally think the current AI “boom” is a bubble around a nascent tech that’s not really ready for lots of the situations it’s been sold for. 🤷♂️
Try Qwen 3.6 35B-A3B on your hardware instead; it’s much faster.
I’ll check it out!
27b is much better though…
And it still gets 15-20 t/s with MTP which is plenty fast.
I haven’t really found that to be the case for my uses, but getting much faster decode is really useful for me… Have you tried running the MoE model at a higher quant? I usually use Q6_K.
I run both of them at Q8, unquantized KV cache and same settings.
35b does really well at most tasks but once the dependencies get complicated and the tool calls reach into the hundreds, 35b struggles where 27b still excels.
So generally I use 27b unless I need it fast, then I swap to 35b or 122b depending on what I need.
Basically this. On top of that, we not far off from the point where you can run something like claude localy. Obviously we don’t have access to claude itself, but we do have access to local big models that come close to it in performance, like kimi-k3 ~500gb on average, deepseek ~1tb or glm5.2 (smallest quant starts from 228gb)
And it may sound like a lot, but it isn’t in reality — most amd cpus from am4 able to address 128gb of ram, while new am5 can do 256gb. Hell, my gaming PC have 128gb of DDR5. So we already technically can run some of those models on a regular office PC. Obviously, due to ram crisis, it will cost you a fortune, but it’s not like it impossible. Furthermore, demand for gpu with a lot of vram will sooner or later be satisfied, so it just matter of time when average consumer will be able to do it. And well, why would we need dedicated data centers then?