LM Studio's frontend was slowing me down, so I switched to this instead
…serves local LLM models via an OpenAI-compatible API that most tools can use. But it's not the right tool for my needs LM Studio was good for dipping my toe…
…serves local LLM models via an OpenAI-compatible API that most tools can use. But it's not the right tool for my needs LM Studio was good for dipping my toe…
…The former is the best choice for running LLMs with Nvidia GPUs and tool sets leading the way. But how much do you need to spend on a GPU to comfortably run…
…Once that’s done, you’ll need the device number associated with your GPU components. I’ve got Nvidia graphics cards, and the command for checking the GPU details is ls -l…
…Quiz 8 Questions · Test Your Knowledge You don't need a beefy GPU to run a local LLM Trivia challenge Think you know your way around local AI? Test your knowledge of…
…Of course, you also need a relatively newer GPU architecture and sufficient memory capacity to avoid stalled LLM workloads. The next time you are optimizing your GPU for LLM inference, focus on…
…entry-level option for home labs 12GB of VRAM gives you the headroom to actually run local LLMs If you've tried running local LLMs on an 8GB GPU like the RTX…
…Outside of flashy ray tracing demos , our GPUs deliver everyday magic, and they never even ask for credit. Related All the settings in AMD, Intel, and Nvidia's drivers you need to…
I'm pretty new to homelabbing and this is my first mini rack! Started with the Beelink ME Mini and then just kinda grew from there (it's always the way hey haha). It idles at 70 watts (not too shabby for how much is goin…
As the title states, my build is indeed able to run a 1 trillion parameter model (in this case Kimi K2.5) locally at ~4 tokens/second. I thought r/LocalLLaMA would be interested in the build due to that stat line, and al…
Just wanted to share my config in hopes of helping other 12GB GPU owners achieve what I see as very respectable token generation speeds with modest VRAM. Using the latest llama.cpp build + MTP PR, I got over 80 tok/sec w…
2026-05-07 edit: I have updated the hardware based recommendations with more focus on quality. I do not recommend q4_0 KV cache anymore beyond 64k context. After multiple rounds of testing with the different size quants,…
Been in the weeds shipping an OSS side project for the past few weeks (social media publishing API). Real launch post is coming, this isn't that. Along the way I kept a list of services that actually have usable free tie…
I thought I needed a GPU for local LLMs until I tried this lean model
…Up until a few years ago, this is where graphics cards came into the picture. However, Intel’s integrated GPUs have become far better for most consumers, even those with over-engineered…
…When users asked Intel directly whether llm-scaler replaces ipex-llm for consumer GPUs like the A770 or B580, the answer was essentially " not yet. " If you're a hobbyist with a…