#local LLM

1979 related articles

Jul 29, 2026·3 min

Local LLM Agent Lagging? Lowering num_gpu Is the Key

Local LLM crashing in Agent frameworks? The issue may be num_gpu set too high. Learn what num_gpu really controls (GPU layer offloading, not GPU count) and how to tune it for stable Agent performance.

Jul 28, 2026·3 min

Apple Silicon LLM Inference Speed Benchmarks: A Complete Guide to Local Large Model Performance on Mac

In-depth analysis of Apple Silicon local LLM inference speed benchmarks covering M-series memory bandwidth, model quantization, MLX framework optimization, and Mac configuration guidance.

Jul 24, 2026·4 min

jlens-gguf: Bringing Jacobian Lens Visualization and Steering to llama.cpp Local LLMs

jlens-gguf is an open-source tool bringing Anthropic's Jacobian Lens interpretability method to GGUF and llama.cpp, enabling internal observation, real-time steering, and abliteration for both dense and MoE models.

llmfit: One Command to Check Which Loc…

Jul 22, 2026·2 min

llmfit: One Command to Check Which Local LLMs Your Hardware Can Run

llmfit is an open-source Rust CLI tool that predicts whether your local hardware can run a given LLM — no model download required. Covers hundreds of models and backends like Ollama and llama.cpp.

Jul 19, 2026·3 min

The Complete Ollama Guide: The Simplest Way to Run LLMs Locally

Ollama has 9M active developers and 170K GitHub stars. This guide covers its features, architecture, business model, and use cases for running LLMs locally.

Jul 17, 2026·3 min

Complete Guide to Deploying LLMs Locally on RobotCore Mini: From Ollama Installation to Web Interface Setup

A complete guide to deploying LLMs locally on RobotCore Mini using Ollama — covering model pulling, CLI verification, Web backend setup, and LAN access.

Java Local LLM Inference: Low-Latency …

Jul 16, 2026·2 min

Java Local LLM Inference: Low-Latency LLM Deployment with Panama FFM

Learn how Java and OpenJDK Panama FFM API enable local LLM inference. Explore the technical foundations, JVM ecosystem benefits, and low-latency AI deployment in enterprise Java systems.

Jul 16, 2026·2 min

How Large a Local LLM Can You Run on a Laptop with 8GB VRAM? A Configuration Guide

Complete guide to running local LLMs on a laptop with 8GB VRAM: real usable memory, quantization estimation, Q4 7B/8B model recommendations, Ollama setup, GPU offloading, and agent development tips.

Jul 16, 2026·2 min

llama.cpp Milestone: The Open-Source Evolution of Local LLM Inference

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

Jul 16, 2026·2 min

Ollama Complete Guide: Running Open-Source LLMs Locally

Want to run open-source LLMs like DeepSeek locally for free? Ollama is the easiest solution. This guide covers what Ollama is, its core advantages, and key use cases.

Building an eGPU for Local LLM on a $1…

Jul 14, 2026·2 min

Building an eGPU for Local LLM on a $1,000 Budget: A Practical Buying and Setup Guide

Building an eGPU for local LLMs on a $1,000 budget? This guide covers GPU selection, dock costs, RTX 3090 vs 3060 value, and top tools like Ollama and llama.cpp.

Relm: An Open-Source Tool for Integrat…

Jul 13, 2026·3 min

Relm: An Open-Source Tool for Integrating Local LLMs as Native R Objects

Relm wraps local LLMs as native R objects, enabling local inference, data privacy, and interpretability analysis. A deep dive for R-based data scientists.

Jul 13, 2026·2 min

Getting Started with Ollama: A Powerful Tool for Deploying Open-Source LLMs Locally

Ollama is a free, open-source LLM management platform that lets you deploy open-source models like DeepSeek locally with one click. It supports macOS, Windows, Linux, and Docker, with both API and CLI modes to build private AI apps at zero cost.

Jul 11, 2026·2 min

Frugon: Local LLM Call Analysis That Pinpoints Cost-Reduction Opportunities

Frugon is an MIT-licensed, local LLM cost analysis tool that helps developers identify which API calls can be switched to cheaper models for data-driven cost reduction — no log uploads, full privacy.

Jul 11, 2026·5 min

Ollama Raises $65M Series B: 85% of Fortune 500 Have Already Deployed Local LLMs

Local LLM tool Ollama closes a $65M Series B, bringing total funding to $88M. With 9M developers and 85% of Fortune 500 having deployed internally, this deep dive explores why enterprises embrace local LLMs: compliance, Agent cost savings, and open-source ecosystem.

Jul 11, 2026·5 min

Why Did Ollama Rise So Fast? Decoding the Success of a Local LLM Tool

How did Ollama grow from a niche open-source project into developers' default choice for running local LLMs? This article breaks down its rise across product design, technical strategy, and ecosystem building.

Jul 10, 2026·3 min

Running LLMs Locally: The Illusion vs. the Real Value of Open-Weight Models

Open weight ≠ runnable locally. This article breaks down the hardware barriers, VRAM limits, electricity costs, and parallelism constraints of models like GLM 5.2 and DeepSeek — revealing where open-weight models truly add value: driving cloud competition, not home replication.

Jul 9, 2026·6 min

AMD Ryzen AI Halo Dev Kit: A $4,000 Local LLM Powerhouse Taking on Apple and NVIDIA

AMD officially unveils the Ryzen AI Halo local AI dev kit, priced around $4,000 with 128GB unified memory, capable of running 70B LLMs locally. An in-depth look at its specs, pricing, and market competition.

The Complete Guide to Local LLM Deploy…

Jul 7, 2026·2 min

The Complete Guide to Local LLM Deployment: Tools, Hardware, and Model Selection

A complete guide to locally deploying open-source LLMs: covering VRAM requirements, quantization, tools like Ollama and LM Studio, and model selection tips for Llama, Qwen, and more.

Jul 7, 2026·6 min

LangChain + MCP in Practice: A Pitfall-Avoidance Guide to LLM Selection and Local Deployment

DeepSeek R1 lacks Function Calling and JSON Output by default. Qwen3's programmable thinking modes make it the top open-source agent choice. Key LLM selection pitfalls and MCP protocol updates.