LocalAI 4.7.1

Running LLMs Locally with Ollama and llama.cpp: A Developer's Guide

Practical developer guide to running local LLMs: hardware, quantization, setup, APIs, and integrating models into workflows.

How to Compile and Cross-Compile llama.cpp for ARM64 on Debian 12/13

llama.cpp is a lightweight C/C++ inference runtime for running large language models locally using the GGUF format on x86_64 servers and ARM

Show HN: Local LLM Notepad – run a GPT-style model from a USB stick

What it is A single 45 MB Windows .exe that embeds llama.cpp and a minimal Tk UI. Copy it (plus any .gguf model) to a flash drive, double-cl

Developer flags harness bug after local 35B model passes task but fails eval on stop token

A developer running agentic evaluations on a local 35-billion-parameter quantized model (ornith-1.0-35b-Q8_0) via llama.cpp found a mismatch

Together Code Interpreter: execute LLM-generated code seamlessly with a simple API call

Using MCP with Local LLMs: Ollama, LM Studio, and Open Source Models

A practical guide to running MCP (Model Context Protocol) with local LLMs via Ollama, LM Studio, MCPHost, and Open WebUI. Updated April 2026