… Your GPU's memory clock is usually the biggest LLM bottleneck More than raw compute Most users consider the GPU core frequency the primary performance metric, and while that's true for gaming, it doesn't move the needle for local AI workloads. …
… Higher-end GPUs unlock more performance for running better models, but even 7B or smaller options can prove useful when used appropriately. With the right hardware configuration, you can run genuinely useful local LLMs. …
… Switching between LLMs lets you harness their unique capabilities If I were to stick to a specific model family, I’d be significantly bottlenecking the potential of my local LLM servers. So, I tend to use a bunch of LLMs in my workflow, and cycle between them depending on my needs. …
… Key Functionality A desktop application for running local LLMs A familiar chat interface Search & download functionality via Hugging Face 🤗 A local server that can listen on OpenAI-like endpoints Systems for managing local models and configurations Run Llama, Mistral, Mixtral, and other local LLMs … …
My personal test for small local LLM intelligence is to check whether a model has any ability to understand the code that I write for my own academic research. My research is on some pretty niche topics and I doubt that …
I love following all your adventures with local LLM setups. Quality and size of the models are important, but so is performance. Numbers don't really convey the experienced speed well, however. If someone claims they run…
Gemma just crushed Qwen in a local LLM gamedev contest! Device: MacBook Pro M5 Max, 64GB RAM Qwen 3.6 27B: 32 tokens/sec · 18m 04s · 33,946 tokens. Gemma 4 31B: 27 tokens/sec · 3m 51s · 6,209 tokens. So what is more impo…
Hey guys, super simple. There have been a lot of online debates about the new M5 Macs vs DGX Sparks vs Strix Halo vs dedicated GPUs etc. So I put them all in a room with good power and cooling and ran everything in paral…
There is a lot of disdain for DGX Sparks here on the sub. And I get it. A lot of people say “It could have been great if it had been better memory bandwidth”, “SM-121 is a fake /second-class Blackwell chip” yadda, yadda.…
… Test your knowledge of running LLMs without breaking the bank. Hardware AI Models Performance Software RAM & CPU 01 / 8 Software Which popular open-source tool is widely used to run large language models locally on consumer hardware without writing any code? …
… Test your knowledge of running LLMs without breaking the bank. Hardware AI Models Performance Software RAM & CPU 01 / 8 Software Which popular open-source tool is widely used to run large language models locally on consumer hardware without writing any code? …
… Related 6 ways anyone can use LM Studio and a local LLM on their PC Most people can find a use for a local LLM on their PC, and here's how I use mine. Getting a local LLM running in your browser It's worth the effort Getting a local LLM running in your browser takes some effort. …
… Related I use local LLMs and self-hosted apps to manage my documents instead of relying on ChatGPT Not every LLM-powered task requires a ChatGPT subscription RAG makes my LLMs more accurate without compromising my privacy Feeding my own documents to pre-trained AI models increases their context awa… …
… Related I ran local LLMs on a "dead" GPU, and the results surprised me My Pascal card may not be ideal for intensive workloads, but it's more than enough for light LLM-powered tasks My local AI-aided workflows insulate me on the privacy front Although the fact that I don’t have to pay monthly subsc… …
… That’s where MCP servers come in handy, as they let my local LLMs access dozens of tools and API calls to control every aspect of my Home Assistant server. …