Day 0 Support for Qwen3.6 on AMD Instinct GPUs
…Run the latest Qwen model locally with LM Studio on supported AMD hardware. Build and ship local AI applications with Lemonade and first-class AMD inference support. August 14, 2026 Becoming a…
…Run the latest Qwen model locally with LM Studio on supported AMD hardware. Build and ship local AI applications with Lemonade and first-class AMD inference support. August 14, 2026 Becoming a…
…WebEye, a benchmark for object localization requiring external knowledge resolution, and Pixel-Searcher, an agent-based approach that connects hidden target identities to visual annotations through search and reasoning. AI-generated summary…
…Benchmarks in AI Showcase a Massive Uplift For RAG Pipelines We know that there are two ways to do AI: the first is LLM, which is currently the most popular model. LLMs…
…FL experiments differ from ordinary local model tuning because the correctness of the experiment depends on a contract among the server, clients, model updates, metadata, data splits, and evaluation logic. A candidate…
…Now, there are a multitude of reasons as to why one would want a Gemma 4 model in their local AI stack, because to put rather simply, there are no tasks that…
…local AI development. With its large unified VRAM, large language models with sizes beyond 70 billion parameters should run on this box without issues, although we are still awaiting the first benchmarks…
…to AI safety. However, existing deepfake video benchmarks provide limited coverage of recent synthesis methods and generally lack reliable fine-grained textual annotations. Meanwhile, conventional detectors and multimodal large language models (MLLMs…
Hello fellow local AI people! I took "you must create your own benchmarks" literally, and built a website for this. How does the end result look like Let's say I want to know which model has most common sense in its resp…
March 6th, 2026 the highest intelligence index score was 51 for frontier models. deepseek-ai/DeepSeek-V4-Flash-0731 that has an intelligence score of 50. If these benchmarks are accurate, models available to run locally …
Hi HN! Sipp is an open-source AI inference library for running local models in browsers with up to 3x faster decode speeds than alternative libraries.My background is in HCI (human-computer interaction) and graphics prog…
Hi HN, author here.Android Remote Control MCP is an MCP server that runs directly on your Android phone (no root, no ADB, no computer in the middle) and lets an AI agent drive real apps the way a human would: it reads th…
Liquid AI put out LFM2.5-VL-3B today, which is a 3.1B vision model that weighs roughly 2GB and fits well on a phone Benchmarks are benchmarks so I tried something sillier. Took a photo of a little Steve toy I have, gave …
…These devices incorporate a CPU, GPU and neural processing unit (NPU) to handle AI tasks locally and more efficiently. “We’re closely knitted with Intel, and the moment we change our model…
…I now look at my local AI setup as a combination of hardware, model, and software that needs to work well together. The model is my starting point. Once I know what…
…as a machine capable of running large AI models locally and managing GPU-heavy workloads, it hasn't publicized any information regarding battery life, benchmark data, or (most importantly) pricing. As a…