…There are options beyond local AI. For reference materials, a tool like Kiwix is worth having in your setup. It lets you download online content as local files using a .zim format…
…Install an LLM provider, such as LM Studio or Ollama , on your local computer. In Settings > Tools > AI > Model Providers add your LM Studio or Ollama instance. Download the Gemma 4 model…
…16 Comments Lemonade as the open-source local AI server backed by AMD and supported across AMD CPUs / GPUs / NPUs on Windows and Linux is out with a big update. Lemonade 10…
…After it is installed, it acts as a container for various local models. I tapped the Models section, searched for Gemma 4 E2B, and downloaded it on my device. Now for the…
Stop stitching together CLI tools. LLMForge handles the full pipeline — from model download to on-device deployment in one native window. No terminal. No cloud. Just results.
Hi everyone. I need some help or advice. I’m learning how to use N8N, so I downloaded Docker and installed N8N locally. I also wanted to install Gemma4, which I use in ComfyUI to help with image generation prompts. Is it…
Selora AI Local is an open-source, Qwen-based model for Home Assistant.Specs: Qwen3 1.7B base model (Q6 quantized~1.6GB) Four Home Assistant-specific LoRA adapters: - Answers - Clarifications - Automations - Commands ~3.…
# I'm 11 years old and I trained my own LLM from scratch. 50 people downloaded it in 24 hours.Hey r/LocalLLaMA,I'm Arthur, I'm 11 years old, and I just released *Wind Arc 1.6* — a custom architecture LLM I built and trai…
I've spent the last year building Charm, a native macOS menu bar app that corrects spelling, fixes grammar, and predicts your next word.Three features:- Spells: NSSpellChecker plus a local LLM for context-aware correctio…
…Throughout the contest, the hackers targeted fully patched products across web browsers, enterprise applications, local privilege escalation, servers, local inference, cloud-native/container environments, virtualization, and LLM categories. Competitors collected $523,000…
…Hosted endpoints don't replace local, they extend what you can test Running 196B at home is still a non-starter for most people I run local LLMs daily, and I've…
…The vLLM inference engine is designed to run LLMs efficiently, maximizing throughput while minimizing memory usage. Using vLLM high-throughput LLM serving on DGX Spark provides a high-performance platform for the…
…And for good reason - GPUs aren’t going anywhere . Their massive parallel processing power remains the gold standard for heavy-lift workloads like high-throughput LLM inferencing. However, the CPU is no…
…This action purges the large downloaded models and stops the service. The only downside with this approach is that local AI features like offline smart replies or Pixel Screenshots will no longer…
…Download and run it on-premises, in the cloud, or across hybrid environments. NIM provides a standard OpenAI inference for sending inference requests to the NIM server. Download the NIM container from…
