A collection of 358 posts
Learn how to install Void AI, the open-source Cursor alternative, and run it with local models via Ollama or LM Studio — with zero cloud dependencies.
Mochi 1 normally needs 22+ GB VRAM, but with CPU offloading, VAE tiling, and 8-bit quantization you can run it on consumer hardware. Full Python code for each technique.
Qwen3-VL-4B handles multilingual OCR, GUI automation, long-video understanding, and visual coding on consumer hardware. Practical Python examples for all four use cases.
A complete developer guide to loading and running Qwen3-VL-4B locally using the HuggingFace Transformers library — including quantization, multi-image inputs, and video frame inference.
A direct comparison of Qwen3-VL-4B and Qwen3-VL-8B covering DocVQA, ScreenSpot, and OCRBench scores, hardware requirements per quantization level, and a task-based routing guide to help you pick the right model for your VRAM budget.
Qwen3-VL-4B-Instruct is Alibaba's compact vision-language model capable of image understanding, OCR, and video analysis on a single consumer GPU. This guide covers hardware requirements, installation, and first inference with full code examples.
DeepSeek V4 launched April 24, 2026 with V4-Pro (1.6T params) and V4-Flash. Here's everything developers need: specs, benchmarks, pricing, and how to migrate from deepseek-chat.
DeepSeek V4 is officially released. This article covers the real architecture (CSA+HCA, mHC, Muon), verified benchmarks for V4-Pro and V4-Flash, correct model specs, and exact API pricing to start using DeepSeek V4 today.
Learn how to run GLM‑5.1 locally on CPU and GPU, including setup steps, hardware needs, benchmarks, and pricing options.
Gemma 4 is not a drop-in upgrade. This guide covers what changed architecturally, the full benchmark comparison, VRAM requirements by model size, and exactly what code you need to update when migrating from Gemma 3.
A complete step-by-step guide to running Gemma 4 locally with Ollama — covering all four model sizes, context configuration, the Ollama REST API, and troubleshooting on Mac, Linux, and Windows.
Google Gemma 4 is here — Apache 2.0 licensed, #3 globally on Arena AI, and running locally in minutes. This review covers every variant, real benchmark numbers, and step-by-step local setup.
Developers searching for Gemma 4N won't find a named model. Here's what replaced it, how Per-Layer Embeddings carry forward from Gemma 3N into Gemma 4's E-variants, and which model to run on your hardware.
Andrej Karpathy revealed a shift from using LLMs for code generation to building a self-maintaining personal knowledge base. Here's the full architecture and how to build your own.
Compare Gemma 4, Gemma 3, and Gemma 3n with real benchmarks, pricing, and use cases to find the most sensible model choice.
Learn how to install, run, and benchmark Gemma 4 locally on PC, Mac, and edge devices with clear steps and real data.
Learn what IBM Granite 4.0 3B Vision is, how to run it locally, and how it extracts charts, tables, and documents with strong benchmark results.
Hermes Agent and multi‑agent AI explained: features, setup steps, benchmarks, pricing, and real use cases for self‑hosted autonomous agents.
Learn how to install and run OpenClaw 2026.3.22 locally, with setup steps, benchmarks, comparisons, and pricing overview for self-hosted AI agents.
MiniMax M2.7 setup, usage, benchmarks, pricing, and comparisons for coding and agent workflows, with real test data and step‑by‑step guidance.
Learn what Nvidia NemoClaw and OpenClaw are, how the secure OpenShell sandbox works, and how to run OpenClaw agents on local vLLM models.
Set up Qwen3.5 with Claude Code as a free local AI coding agent. Learn install steps, benchmarks, pricing, comparisons, and real‑world tests in this updated 2026 guide.
Learn how to run, install, benchmark, compare, and test OmniCoder‑9B locally. Step‑by‑step setup (Transformers, vLLM, llama.cpp, Ollama), hardware needs, pricing, benchmarks, and real‑world coding demos.
Learn Web3 development in 2026: stack, tools, benchmarks, costs, and real-world use cases, explained in clear developer-focused language.
Discover how to install, run, demo, benchmark and compare TADA, Hume AI’s new open‑source speech model with 1:1 text‑audio alignment, 5x faster TTS and zero content hallucinations—entirely on your local machine.