LOCAL FTW
News, guides and discovery for the local LLM community.
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Recent Posts
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GNOME's AI Assistant Newelle Adds llama.cpp Support and Command Execution
GNOME's native AI assistant Newelle now supports llama.cpp backends and includes new command execution capabilities, bringing local LLM integration directly to Linux desktops.
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Scaling llama.cpp On Neoverse N2: Solving Cross-NUMA Performance Issues
New optimizations address NUMA topology challenges in llama.cpp deployments on ARM Neoverse N2 processors, improving multi-socket server performance for local LLM inference.
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Ming-flash-omni-2.0: 100B MoE Omni-Modal Model Released
Ant Group releases Ming-flash-omni-2.0, a 100B MoE model with 6B active parameters supporting unified speech, SFX, music generation alongside image, text, and video processing.
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MiniMax M2.5: 230B Parameter MoE Model Coming to HuggingFace
MiniMax officially confirms open-source release of M2.5, a 230B parameter MoE model with only 10B active parameters, showing impressive SWE-Bench performance at 80.2%.
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175,000 Publicly Exposed Ollama AI Servers Discovered Across 130 Countries
Security researchers found over 175,000 Ollama installations with no authentication exposed to the internet, creating significant security risks for local LLM deployments worldwide.
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GitHub Announces Support for Open Source AI Project Maintainers
GitHub outlines new initiatives to support maintainers of open source projects, potentially benefiting local LLM framework developers and tool creators.
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Optimal llama.cpp Settings Found for Qwen3 Coder Next Loop Issues
Community discovers optimal llama.cpp configuration to fix repetitive loop problems in Qwen3-Coder-Next models, improving practical deployment reliability.
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Simile AI Raises $100M Series A for Local AI Infrastructure
Simile AI secures major funding round, likely focusing on improving local AI deployment and inference capabilities for enterprise applications.
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Switching From Ollama and LM Studio to llama.cpp: Performance Benefits
A detailed comparison shows why switching from user-friendly tools like Ollama and LM Studio to direct llama.cpp usage can provide significant performance improvements for local LLM deployment.
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First Vibecoded AI Operating System for Local Deployment
New experimental AI-powered operating system designed for local inference and edge computing applications.
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Critical vLLM RCE Vulnerability Lets Attackers Take Over Servers via Video Links
A severe remote code execution vulnerability in vLLM (CVE-2026-22778) affects millions of AI servers, allowing attackers to gain full system control through malicious video links.
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WinClaw: Windows-Native AI Assistant with Office Automation
New open-source Windows-native AI assistant enables local deployment with Office automation capabilities and extensible skills framework.
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Use Recursive Language Models to address huge contexts for local LLM
A powerful and innovative technique for extending context windows for use in local models
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Analysis Reveals AI's Real Impact on Software Launches and Development
A comprehensive analysis of Product Hunt data reveals how AI tools are actually affecting software development and launch patterns, providing insights relevant to local LLM adoption.
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I Tried a Claude Code Rival That's Local, Open Source, and Completely Free
Hands-on comparison of a local, open-source alternative to Claude's coding capabilities, demonstrating competitive performance for code generation tasks.
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GLM-5 Released: 744B Parameter MoE Model Targeting Complex Tasks
Zhipu AI releases GLM-5, a massive 744B parameter MoE model with 32B active parameters, designed for complex systems engineering and long-horizon agentic tasks with significant performance improvements over GLM-4.5.
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New Header-Only C++ Benchmark Tool for Predictive Models on Raw Binary Streams
A lightweight C++ benchmarking framework has been released specifically for testing predictive models on raw binary streams, offering potential benefits for local LLM inference optimization.
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Heaps Do Lie: Debugging a Memory Leak in vLLM
Mistral AI engineers share detailed technical insights into identifying and fixing a critical memory leak in vLLM inference engine.
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Memio Launches AI-Powered Knowledge Hub for Android with Local Processing
Memio introduces a new Android application that serves as an AI-powered knowledge hub for notes, RSS feeds, and web articles, potentially featuring local AI processing capabilities.
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Microsoft MarkItDown: Document Preprocessing Tool for LLMs
Microsoft releases MarkItDown, a tool that converts various document formats (PDF, HTML, DOCX, PPTX, XLSX, EPUB) to markdown while also supporting audio transcription, YouTube links, and OCR for images.
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Researchers Find 175,000 Publicly Exposed Ollama AI Servers Across 130 Countries
Security research reveals massive exposure of Ollama servers worldwide, highlighting critical security considerations for local LLM deployments.
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OpenClaw with vLLM Running for Free on AMD Developer Cloud
AMD launches free cloud access to run OpenClaw and vLLM inference workloads, providing developers with no-cost GPU resources for local LLM development.
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Qwen Coder Next Shows Specialized Agent Performance
Community testing reveals Qwen Coder Next excels at agent work and research tasks rather than pure code generation, showing strong performance in planning, technical writing, and information gathering despite its coding-focused name.
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Running Mistral-7B on Intel NPU Achieves 12.6 Tokens/Second
A developer created a tool to run LLMs on Intel NPUs, achieving 12.6 tokens/second with Mistral-7B while using zero CPU/GPU resources, though integrated GPU still performs better at 23.38 tokens/second.
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Samsung's REAM: Alternative Model Compression Technique
Samsung introduces REAM as a less damaging alternative to traditional REAP model compression methods used by other companies, potentially offering better performance preservation during model shrinking.
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Scaling llama.cpp On Neoverse N2: Solving Cross-NUMA Performance Issues
Technical deep dive into optimizing llama.cpp performance on ARM Neoverse N2 processors by addressing cross-NUMA memory access bottlenecks.
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ByteDance Releases Seedance 2.0 AI Development Platform
ByteDance has launched Seedance 2.0, an updated AI development platform that may include new capabilities for model deployment and inference optimization.
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Running Your Own AI Assistant for €19/Month: Complete Self-Hosting Guide
A comprehensive guide demonstrates how to deploy and run a personal AI assistant on self-hosted infrastructure for just €19 per month, including setup instructions and cost breakdowns.
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Community Member Builds 144GB VRAM Local LLM Powerhouse
A LocalLLaMA community member showcases a custom-built system with 6x RTX 3090 GPUs providing 144GB of VRAM, featuring modified drivers with P2P support for high-performance local LLM inference.
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Anthropic Releases Claude Opus 4.6 Sabotage Risk Assessment
New technical report from Anthropic examines potential sabotage risks in Claude Opus 4.6, providing insights into AI safety considerations for local deployment.
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Arm SME2 Technology Expands CPU Capabilities for On-Device AI
Samsung and Arm announce SME2 technology that significantly enhances CPU performance for local AI inference, potentially reducing reliance on dedicated AI accelerators.
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Carmack Proposes Using Long Fiber Lines as L2 Cache for Streaming AI Data
John Carmack explores using fiber optic lines as an alternative to DRAM for streaming AI data, potentially revolutionizing memory architecture for large model inference.
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DeepSeek Launches Model Update with 1M Context Window
DeepSeek has updated their model to support 1 million token context windows with a knowledge cutoff of May 2025, currently in grayscale testing phase with potential for local deployment.
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Energy-Based Models Compared Against Frontier AI for Sudoku Solving
New analysis compares specialized energy-based models with large frontier AI systems for Sudoku solving, exploring efficiency advantages of task-specific local models.
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Building a RAG Pipeline on 2M+ Pages: EpsteinFiles-RAG Project
A developer demonstrates building a large-scale RAG (Retrieval-Augmented Generation) pipeline processing over 2 million pages, showcasing advanced techniques for local document processing and retrieval optimization.
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5 Practical Ways to Use Local LLMs with MCP Tools
A comprehensive guide exploring how to integrate Model Context Protocol (MCP) tools with local LLM deployments for enhanced functionality and automation.
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Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts
Nanbeige LLM Lab releases a new open-source 3B parameter model designed to achieve strong reasoning, preference alignment, and agentic behavior in a compact form factor ideal for local deployment.
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NAS System Achieves 18 tok/s with 80B LLM Using Only Integrated Graphics
A community member successfully runs an 80B parameter language model on a NAS system's integrated GPU at 18 tokens per second, demonstrating efficient local inference without discrete graphics cards.
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175,000 Publicly Exposed Ollama Servers Create Major Security Risk
Security researchers discover over 175,000 misconfigured Ollama installations exposed to the internet across 130 countries, highlighting critical deployment security practices.
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Mistral AI Debugs Critical Memory Leak in vLLM Inference Engine
Mistral AI's engineering team shares their process for identifying and fixing a significant memory leak in vLLM that was affecting production deployments.