… Related I finally found a local LLM I want to use every day and it's not for coding Local AI that actually fits into my day Before we get into it My setup and what I’m working with I’m running an RTX 3070 with 8GB VRAM, which gets the job done, and I run my models in LM Studio. …
… But we won't need to be running 32B models to make the most of LLM capabilities. 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 running LLMs without breaking the bank. …
… Related I don't pay for ChatGPT, Perplexity, Gemini, or Claude – I stick to my self-hosted LLMs instead There's no point in relying on AI tools when my local LLMs can handle everything Home Assistant with a local LLM is already doing what Gemini for Home promises Run your stack with your rules You … …
… 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 running LLMs without breaking the bank. …
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 …
That foodtruck bench post showing deepseek v4 matching gpt-5.2 at 17x cheaper got me thinking. if frontier cloud models are that overpriced for equivalent quality, how much of my daily work even needs cloud at all? Ran m…
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…
Implemented Multi-Token Prediction for LLaMA.cpp. Quantized Gemma 4 assistant models into GGUF format. Ran tests on a MacBook Pro M5Max. Gemma 26B with MTP drafts tokens 40% faster. Prompt: Write a Python program to find…
Saw this post comparing Qwen 3.6 variants on coding primitives, so I wanted to see how local quants stack up against frontier models on a similar dense, single-file coding task. I ran the exact same prompt across local a…
… 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 running LLMs without breaking the bank. …
… And that's also why the local LLM helps. Claude Code already has a switch between Opus, Sonnet, and Haiku, and setting up an Anthropic API-capable local LLM slots in as a fourth. …
… Running a local LLM is easy until you actually try to use it every day Five minutes to set up, five hours to realize you don't actually want to use it Getting a local LLM running is the easy part. …
… It gives you local network access at a switch , and now you can serve over Tailscale as well. It's fast enough for one user, easy to switch between multiple local models, and serves local LLM models via an OpenAI-compatible API that most tools can use. …
… Our local LLM expert, Adam Conway, talked all about the nitty-gritty details in a separate article . But I do want to briefly explain how local LLMs actually work, because it makes everything else in this piece make a lot more sense. …
… Related 5 self-hosted LLMs I use for specific tasks My customized, self-hosted AI workflow Focus on workflow integration instead Connecting the engine to the wheels For a long time, my local LLM was just a destination, a tab I’d visit when I had a specific question. …