1630 related articles

AMD GPU black screens running local LLMs? This post-mortem covers Ollama's 3 fatal flaws and how switching to LM Studio boosted token speed from 5 to 36, with ROCm setup, Speculative Decoding, and GFX version tips.

Ollama is an open-source local LLM runner with 175K+ GitHub Stars. Built in Go, it supports Llama, Mistral, Qwen and more — deploy in 3 steps, no setup headaches.

Complete Ollama guide: install and run open-source LLMs like DeepSeek, Llama, and Qwen locally on Windows/Mac/Linux. Free, private, and beginner-friendly.

Step-by-step guide to deploying Llama.cpp on Windows without compiling. Download pre-built packages, configure CUDA, and run GGUF quantized models locally with GPU acceleration and web UI in three simple steps.

Learn how to integrate Spring AI with Ollama to run open-source LLMs like Llama and Gemma locally for free. Covers setup, configuration, and code — switch from OpenAI by just changing dependencies.

Step-by-step guide to deploying Google's Gemma 4 open-source model locally with Ollama and running the lightweight version on mobile with tool calling support.

Deep dive into LlamaFactory, an open-source unified fine-tuning framework supporting 100+ LLMs and VLMs with LoRA, QLoRA, RLHF methods, Web UI, 71K+ GitHub Stars, accepted at ACL 2024.
TutorialsA detailed guide to Ollama's core features: free open-source local LLM management with cross-platform support, intelligent GPU/CPU scheduling, and API integration for running DeepSeek and other open-source models locally at zero cost.
TutorialsLearn how to deploy LLMs locally with Ollama in three simple steps: install, choose a model, and run. No coding required, supports offline use, and completely free.
TutorialsLearn how to run Codex locally with Ollama and Gemma 4 for zero-cost AI programming. Covers installation, model selection, and real demos as an alternative to $20-200/month paid plans.
Product ReviewsHands-on testing of Google Gemma 4 open-source models running offline on three phones, with Dense vs MOE architecture explained and a complete Ollama + Claude Code deployment tutorial.
TutorialsGuide to enabling MTP multi-Token prediction acceleration in llama.cpp, covering CUDA setup, desktop configuration, model selection, and benchmarks showing ~60 Token/s with Qwen3 27B.
TutorialsStep-by-step guide to building a local RAG knowledge base using RAGFlow, Ollama, and LM Studio with Docker, covering Embedding model deployment and network troubleshooting for private AI Q&A.
TutorialsComplete guide to building a local AI knowledge base with Qwen3.5, RAGFlow, and Ollama, covering Docker deployment, Embedding model configuration, knowledge base creation, and RAG system setup.
Product ReviewsMeta releases Llama 3.3 70B open-source model with just 70B parameters rivaling 405B performance. Tested on 13 logic, math, and coding questions, it passed 12 — reshaping the open-source model landscape.
TutorialsComplete guide to deploying open-source LLMs locally with Ollama. Covers installation, model selection, VRAM requirements, and performance comparison of Llama 3 and Qwen models. Free, offline-capable AI.
TutorialsComplete guide to deploying open-source LLMs locally with Ollama, covering installation, model selection, quantization strategies, Python API integration, and performance optimization tips.
TutorialsTutorial on using CC Switch to disguise local Ollama models as Claude API, driving Claude Code desktop for free AI programming with Qwen, Gemma, and other open-source models.
TutorialsLearn how to deploy DeepSeek R1 locally using Ollama with this step-by-step guide covering installation, model selection, hardware requirements, and advanced features like GUI and knowledge bases.
Industry InsightsHow should enterprises choose open-source LLMs? This guide compares Llama 3.1, Qwen 2.5, DeepSeek, and Mistral across model capabilities, hardware requirements, and business scenarios.