Run AI models on your own laptop, GPU or server: setup guides, hardware, benchmarks and when local beats the cloud.
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Ripple 65B Preview is a dense 65B open-weight model with 1M context. See memory needs, DGX Spark fit, API pricing and how it compares to peers.
Underdog Woof is a 40.6 MB English text-to-speech model that runs on a CPU with NumPy. Setup steps, voices, test results and the non-commercial license catch.
Nvidia's board is probing a Jensen Huang relationship tied to Megaspeed while 600,000 H200s wait in Hong Kong. The timeline, export rules and stakes.
Qwen4 Max preview tested on Blender animation, an 82-language naming task, satellite map reasoning and seat belt laws, plus where it struggled.
Underdog Woof claims a 1.42% word error rate. Hands-on tests of Juno and Mira on phone numbers, prices, titles and dates show where it slips.
Nemotron 3.5 Bolt is a 2-bit version of the 120B Super. Compare benchmark drops (PinchBench 90 to 88, GPQA 89 to 86), file size, speed and what to test.
Real token counts and API-equivalent costs for Fable 5.2 projects, from a $30 Blender house to a $15,000 game, plus Ultra Code and the usage reset.
Run the 3.66B TwIL LM3 Pro logic model locally with llama.cpp: VRAM needs, quantized builds, a Hermes agent setup, and the non-commercial license.
Hands-on results for TwIL LM3 Pro: 3/3 on spec contradictions, 8/10 on a return policy, 5/8 on invented-rule puzzles, and where larger models win.
Nvidia's Nemotron 3.5 Bolt 74B A9B stores experts at 2 bits to fit in 24GB. See the memory math, speed on RTX Spark, and what you give up.
Tencent HY4 hands-on: coding tests, new vision support, $2.50 output pricing versus DeepSeek V4.1 Flash, and whether open weights are coming.
Run Nous Research's Arete-27B locally: VRAM estimates by quantization, context limits from its 64k training, and runtime settings to start with.
Learn to install HKUDS DeepTutor in Docker, connect Ollama chat and embedding models, and test its quiz, solve, research and visualize modes.
Hardware needed to run Nous Research's Arete-27B locally: VRAM by quantization level, the 64k training context, text-only limits, and runtime choices.
Run NVIDIA's 9.6M-parameter RE-USE model on CPU to remove noise, echo and clipping from speech. Setup commands, test results, music limits, architecture.
AREX-2 scores 81.8 on MLE-Bench Lite and 70.7 on FrontierCS. See the 5-hour curve and how much of the gain comes from skills versus training.
MiniCPM-OCR leads four of six benchmarks against 15 open OCR models and runs fast, but charts, reading order and footers still trip it up.
How to run OpenBMB's MiniCPM-OCR 1.0 locally with vLLM, what VRAM it needs, and how it handled formulas, charts, newsprint, invoices and Chinese contracts.
How a coding agent like Codex or Claude Code can drive an Olares One: what the setup involves, example prompts for STL files and ComfyUI, and what to verify.
A 4-bit Qwen 3.8 27B on a 24GB Olares One drove OpenCode to design firmware and OpenSCAD enclosures for an ESP32 GPS speedometer. Here is what held up.
Run local AI on a weak Linux machine with 4GB RAM and no GPU: the RAM budget, model sizes that fit, Ollama setup, and realistic CPU-only speeds.
Run StarCoder2 15B locally with Ollama or llama.cpp. Install commands, approximate quantized sizes, and the VRAM or unified memory each setup needs.
Set up Tencent's DSpine draft model with Qwen3.8-27B on SGLang: install steps, serve flags, block size 16, H100 memory use and the A100 problem.
DSpine vs DFlash2 on Qwen3.8-27B: acceptance length, agent throughput, and a hands-on H100 test that hit about 156 tokens/s versus 33.