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I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat
This is a GPT4 level model running locally with a decent speed on a 16gb ram macbook air.
I have a prediction. By the mid of 2027, we will have >200B MoE models running on basic consumer hardware. I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat This is a GPT4 level model running locally with a decent speed on a 16gb ram macbook air.
It's quite telling you didn't use Qwen3.6-35B-A3B locally to build that, seems there was another collaborator ;)
Show something you've built with the model+tooling instead, truly dogfood it. I'm sure you'll discover things along the way too!
Earlier quoted context omitted.
This reads as pretty clearly AI-generated text, which is against HN guidelines.
The PR? He said it was AI in the comment you replied to... I don't think the post itself reads like AI at all, but that's just me.
That's quite slow I'm getting 8-12 t/s on a 13 year old CPU. (Speed varies by context size and other settings who knows) https://news.ycombinator.com/item?id=48354801
I have a prediction. By the mid of 2027, we will have >200B MoE models running on basic consumer hardware. I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat This is a GPT4 level model running locally with a decent speed on a 16gb ram macbook air.
But you said 7-9 tokens/second, that's not a decent speed. I'm not an expert by all means but in my local experiments, less than 12 to 16 tps is too slow.
I have a prediction. By the mid of 2027, we will have >200B MoE models running on basic consumer hardware. I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat This is a GPT4 level model running locally with a decent speed on a 16gb ram macbook air.
> I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat It's quite telling you didn't use Qwen3.6-35B-A3B locally to build that, seems there was another collaborator ;) Show something you've built with the model+tooling instead, truly dogfood it. I'm sure you'll discover things along the way too!
that would have run into a race condition unfortunately ;)
but there is a sample landing page + a python function on the repo which shows what the model produced. my goal is to integrate the local model in my workflow so that claude/OAI can call this model for basic stuff.
I have a prediction. By the mid of 2027, we will have >200B MoE models running on basic consumer hardware. I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat This is a GPT4 level model running locally with a decent speed on a 16gb ram macbook air.
I have a prediction. By the mid of 2027, we will have >200B MoE models running on basic consumer hardware. I am running Qwen3.6-35B-A3B locally on my 16GB mac with 7-9 tokens/second. Link - https://github.com/deepanwadhwa/samosa-chat This is a GPT4 level model running locally with a decent speed on a 16gb ram macbook air.
> on a decent speed But you said 7-9 tokens/second , that's not a decent speed. I'm not an expert by all means but in my local experiments, less than 12 to 16 tps is too slow.