5 karma · joined May 17, 2022
What is your target use case? Curious what feels suboptimal about llama.cpp + Vulkan so far.
Our stack changes per project, adapting to client needs and infra: Llama 70B on a Mac Studio M1 with Ollama in 2024, vLLM on 4xH100 private cloud for larger deployments. Most recently, we've been working on a custom workstation with 2x RTX PRO 6000 Blackwell Max-Q + 1.1TB DDR5 to run larger models locally using SGLang and KTransformers.
The question isn't rhetorical, I'm trying to understand if the demand we see in regulated sectors is the whole market or if there's broader adoption I'm missing.
I’m curious how you assess developers’ ability to leverage these tools efficiently during the recruiting process. Any tips to share? Any return on experience?
On hallucinations, larger models like Llama 3.1 70B still have a clear advantage, but they're also too costly to run at the moment on most API for those use cases. We built our API specifically for that reason.
I will try to make the disclaimer even more visible. We're not trying to hide anything here !