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Local & Open-Weight Models

Deployment-focused content for open-weight models — running Gemma, Qwen, etc. locally, on phones, laptops, edge devices. Setup guides, hardware requirements, deployment patterns. Single-model reviews and explainers go under AI Model Reviews & Comparisons instead.

How to Run dots3-note Locally on vLLM or SGLang

A hardware and setup guide to deploying dots3-note-prev-fp8 locally with vLLM or SGLang, covering FP8 quantization and 8-GPU serving.

dots3-note local deploymentdots3-note vLLMdots3-note SGLang

How to Run DeepSeek V4 Pro Locally with vLLM or SGLang

A practical guide to deploying DeepSeek V4 Pro locally with vLLM or SGLang, including DSpark speculative decoding and hardware configs.

run DeepSeek V4 locallyDeepSeek vLLMDeepSeek SGLang

How to Run MiniMax Music 3 Locally for AI Song Generation

A practical guide to installing MiniMax Music 3 locally, covering VRAM needs, the Gradio setup, and what the open music model actually delivers.

MiniMax Music 3AI music generationrun MiniMax locally

North MicroVision 2.4B: Installing Cohere's Local OCR Vision Model

Cohere's North MicroVision is a 2.4B open vision model for OCR and documents. Here's how to install it, its real VRAM use, and where it falls short.

North MicroVisionCohere vision modelrun locally OCR model

M5 MacBook Air: How Much Faster Is Local AI, Really?

The M5 MacBook Air brings a real memory bandwidth jump for local LLMs. Here's what that means for prompt processing and token generation.

M5 MacBook Air local AIM5 neural acceleratorrun LLM on MacBook Air

Can You Run Qwen3.8-2.4T-A95B Locally? Hardware Requirements Explained

What it actually takes to self-host Qwen3.8-2.4T-A95B, a 2.4-trillion-parameter MoE model, including VRAM, quantization, and vLLM setup.

run Qwen3.8 locallyQwen3.8 VRAM requirementsQwen3.8 vLLM

What Is NVIDIA SwitchYard? The Open-Source Local AI Model Router

NVIDIA SwitchYard routes agent tasks between local and frontier models automatically. Here's what it does, how routing works, and why it matters.

NVIDIA SwitchYardAI model routerlocal LLM router

How to Run fuse-1 Lite Locally: VRAM, Setup, and Formats

How to run fuse-1 Lite's 5.72B coding MoE model locally via GGUF, MLX, vLLM, or bitsandbytes, with VRAM needs for each backend.

fuse-1 Lite VRAMrun fuse-1 Lite locallyGGUF quantization

How to Run Maple-Preview Locally on a Mac Mini M4

A guide to running DeepGrove's Maple-Preview 20B-A1B ternary model on a Mac mini M4, covering hardware needs and real-world speed.

run Maple-Preview locallyMac mini M4 LLMternary weight inference

How to Run Nemotron 3.5 Lightning Locally on Your Own GPU

A practical guide to running and fine-tuning NVIDIA's Nemotron 3.5 Lightning MoE model locally, covering hardware needs, NVFP4, and Unsloth.

run Nemotron locallyNVFP4 quantizationDGX Spark

Set Up a Local AI Router With SwitchYard and Nemotron Lightning

How to configure NVIDIA's SwitchYard router with a locally hosted Nemotron 3.5 Lightning model to cut API costs without losing task quality.

SwitchYard setupNemotron Lightninglocal AI router

How to Run Prime Agent Locally With DeepSeek V4 on Your Own Hardware

A hands-on guide to installing Prime Agent, configuring it for a local DeepSeek V4 endpoint, and comparing its performance to Claude Code and Codex.

run Prime Agent locallyDeepSeek V4 localDGX Spark

Run MiniMax H3 Locally: VRAM Guide From 6GB Cards to the 5090

How to run the open-source MiniMax H3 AI video model locally, with VRAM tiers from a 6GB RTX 2060 up to a 5090, plus Mac options.

MiniMax H3 local installrun H3 ComfyUIH3 VRAM requirements

DeepSeek V4 Flash: The Cheapest Frontier-Level Open Model Yet

DeepSeek V4 Flash jumps to 54% on agentic coding benchmarks and rivals larger models, but harness choice explains much of the gain.

DeepSeek V4 FlashDeepSeek benchmarksopen source LLM

How to Run DeepSeek V4 Flash Locally: Hardware, Quantization, Tests

A practical guide to running DeepSeek V4 Flash locally, covering VRAM needs, quantization tradeoffs, DGX Spark setups, and real agentic coding results.

run DeepSeek locallyDGX Spark AIlocal LLM hardware

Self-Hosting Chinese Open-Weight AI Models: A Practical Decision Guide

A practical guide to self-hosting DeepSeek, Qwen, or GLM versus using APIs, covering hardware costs, licensing terms, and data governance risks.

self-hosting AI modelsopen weight AI deploymentDeepSeek self hosting

Poolside's Laguna S 2.1: A 118B Open Model for Local Agentic Coding

Poolside's open-weight Laguna S 2.1 runs agentic coding locally at 80+ tokens/sec on DGX Spark, matching models ten times its size.

Laguna S 2.1Poolside AI modelDGX Spark local LLM

Local AI Video Generation with ComfyUI: How It Actually Works

How a 128GB local workstation runs ComfyUI with Qwen image and LTX video models to generate unlimited AI content without API fees.

ComfyUI local video generationQwen image modelLTX video model

How to Run a 744B AI Model on a Consumer Laptop Using Colibri

Colibri uses three-tier memory and SSD streaming to run GLM 5.2 on consumer hardware. Learn how the hot-cold expert split makes this possible.

LLMs & ModelsAI ConceptsOptimization

AMD's Ryzen AI Developer Center: Local AI Setup Without the ROCm Grind

AMD's Ryzen AI Developer Center ships with playbooks for ComfyUI, LM Studio, and Unsloth fine-tuning, cutting out manual ROCm and driver setup.

AMD Ryzen AI developer centerComfyUI setupUnsloth fine-tuning

AMD Ryzen AI Max Plus 395: 128GB Unified Memory for Local LLMs

AMD's Ryzen AI Max Plus 395 pairs 128GB unified memory with a Radeon 8060S GPU, letting local rigs load 100B+ parameter models without a discrete GPU.

Ryzen AI Max Plus 395AMD Ryzen AI Halounified memory AI

Build a Free Overnight AI Video Pipeline Locally with ComfyUI

Skip per-second cloud video API costs. Learn how a local ComfyUI pipeline with Qwen Image and LTX Video batch-generates clips overnight for free.

ComfyUI workflowLTX VideoQwen Image model

Local LLM Speed Test: GPT-OSS, Qwen3.6 and Hermes on 128GB Unified Memory

Real token-per-second benchmarks for GPT-OSS 120B, Qwen3.6 MoE, and Hermes agents running locally on 128GB unified memory hardware.

local LLM benchmarkGPT-OSS tokens per secondQwen3.6 MoE

How to Use AI for Secure Document Processing: Local Models, PII Detection, and Compliance

Learn how to use LM Studio and open-weight models to scan contracts for PII, mask credentials, and process sensitive files without sending data to the cloud.

Security & ComplianceWorkflowsAutomation