Local LLM

Meta partners with Apple to launch Muse Spark Open, an open-weight AI model optimized to run locally on Apple Silicon Macs.

A 10-minute guide to deploying OpenAmer, an open-source, self-verifying desktop agent that operates within your local session and logs every action for verifiable accountability.

An in-depth technical analysis of building a zero-dependency, plug-and-play offline AI USB drive containing seven LLMs. Explores OS runtime bugs, filesystem edge cases, llamafile fork() issues, whisper.cpp audio buffer bugs, and when to pivot to cloud API aggregators like n1n.ai.

Discover how far a base Mac mini M4 with 16 GB RAM can go using Ollama. Step-by-step tutorial covering Python SDK integration, OpenAI API drop-in replacements, native Tool Calling, private RAG pipelines, Modelfiles, and MLX LoRA fine-tuning.

Learn how VIDRAFT's POCKET-Darwin-180B model uses graft quantization and SSD offloading in llama.cpp to run a top-ranking 180-billion-parameter MoE model on consumer laptops and mini PCs.

Exploring the shift toward local AI agents with Perplexity's new Windows release, leveraging NVIDIA RTX power for enhanced privacy and performance.

Learn how to build a high-performance, sandboxed local AI agent in Rust. Explore asynchronous orchestration, memory-safe tool execution, local LLM backends, and cloud fallback integration.

Nvidia introduces the Personal AI Router (PAIR), an open-source tool enabling developers to network idle GPUs and Apple Silicon chips into a unified local cluster for distributed LLM inference and agentic workflows.

A comprehensive guide to deploying Qwen 3.8 27B locally, covering GGUF quantization sizes, the hybrid attention KV cache trick, and troubleshooting chat templates for optimal performance.

A comprehensive guide on implementing local multimodal AI workflows using Ollama, Gemma models, and structured JSON outputs for production-grade applications.

An in-depth technical deep dive into Meta's Muse Glimmer 30B model, exploring its dense architecture, DFlash speculative decoding, and how it stacks up against Qwen and Gemma in agentic benchmarks.

The official launch of llama.app marks a major milestone for local LLMs, bringing a zero-config web interface to the world's most popular inference engine.