If you've never messed with open source LLMs and you jumped on the ClawdBot/OpenClaw hype train: take some time to learn more about how local models work. You likely went through the trouble of getting a Mac Mini, so you now have a nice little test box
If you're having a hard time understanding MoE strength vs dense models, and roughly where they might land when comparing them, think about this super oversimplified analogy. I'm hoping it makes sense: The Scenario Imagine a paid trivia competition, but all the questions are about carpentry
This has nothing to do with technology, but just so you know- I'm a tropical beastie, and I absolutely will not miss the 22 degree weather this pass weekend. I am no longer built for this. That is all.
What's Changed Since 2024 So back in May of 2024 I wrote the first version of this little guide, at a time when agents were absolute crap and Wilmer was still in a state that couldn't even be called v0.01. Back then it got a
Everyone and their brother is talking about Clawdbot, but as several others have pointed out- an agent with that many connections could be a security nightmare if it can be prompt injected. But since it supports OpenAI and Ollama endpoints... I wonder how well it would work if I stuck
Honestly been waiting for next week for a while. Even if the wait time is 2 months or longer on actually getting the order, having an M5 Max for the hardware matmul is going to be amazing and worth the wait. One nice thing about getting a new machine now
So I currently run GLM 4.7 Q8 on my M3 Ultra, and after wrestling to find a solid model that would work well on the M2 Ultra 192GB, I finally decided to give the older GLM 4.6 UD_Q3_K_XL a try on it, seeing how much
Go back in time a year and a half- it's mid-2024, LinkedIn has discovered AI and now the buzzword of the year is "agentic". Everyone and their brother was trying to convert every single task to be doable by an "agent" and, to be
When folks say "I can't find a use for AI", I think far too many of them are overthinking the use-cases, or expecting a much more grand difference in their lives. Without actually relying on LLMs to do the thinking for me, I can say without
It's been a few weeks since I've posted or made any changes on Wilmer; I haven't stopped or lost interest, but rather I'm about to change jobs and I've been heads down on transition stuff before I leave my current
I was trying to answer someone's question about how Llama.cpp handles offloading with Mixture of Experts models on a regular gaming PC with a 24GB GPU, and ended up spending a few hours in a deep dive.
When I first started Wilmer, it was for a very specific reason: I wanted a semantic router, and one didn't yet exist. The routers that were available were all specifically designed to take the last message, categorize that, and route you that way. I needed more, though; what
