local llm

"Using 8GB of VRAM for just one model was a waste... 60% of tasks are sufficient with 4-8B models."

"Japanese MT-Bench score of 7.82 surpasses GPT-4o (7.29)... This article is a verification record of actually running LLM-jp-4 with Ollama."

"35B-A3B MoE (GPU 95%): Q4_K_M for about 21GB. This also doesn't fit in 8GB. But with ngl=99, all layers are loaded onto the GPU. The reason is the MoE structure. 35B-A3B has 256 experts, but only 8 routed experts + 1 shared expert are activated per token, equivalent to about 3B in parameters. During inference, the GPU actually calculates only this 3B portion."

"I've tried a comparative verification with excellent local LLMs that can be operated with Ollama, referring to the information on CanIRun.ai."

"This article explains everything from the basics of local LLMs, to specific construction steps using AWS, to security measures, so that even beginners can build from scratch."

"Google NotebookLM is useful, but you need to be careful about handling sensitive information and personal information."

"Syncnote-alpha is a tool that converts meeting notes into: 📄 Summary, ✅ Action Items, ✉️ Email Draft."

"I just want to catch up on local LLM's after work.."

"Ollama is an open-source tool that allows you to run local LLMs in a local environment."

"For coding tasks, the Thinking mode (a function that internally expands Chain-of-Thought) supported by Qwen3.5 and DeepSeek is clearly effective."

"So I'm building it in Zig."

"The article structurally organizes the selection criteria to stop choosing based on intuition, with actual measurements."

"In fact, it works with only three commands: install Ollama, pull the model, and run OpenClaw onboarding."

"Ollama is an open source tool that allows you to run local LLMs in a local environment."

"But with the new algorithm, it now seems feasible."

"This article introduces an architecture to operate n8n, Dify, and Ollama (local LLM) by reconstructing the M1 Mac mini with "8GB memory / 256GB SSD" as a "24-hour running local edge server.""

"Through packaging Agents, Skills (skill documents), and deploying models locally on external hardware, it can both eliminate complex deployment processes and avoid additional Token consumption through local model calls."

"To overcome this challenge with technology, we developed a 'decision-making OS (Strategic Nexus)' that structures the discussion points in an instant and forcefully presents a cold conclusion and Next Action simply by inputting the rough discussion logs from the field."

"That's now, on a smartphone, text generation is possible without communication, without API keys, without charges, and without usage restrictions."

"The article investigates how much it costs to run AI equivalent to Claude Opus 4.6 locally."

"Qwen3.5's core innovation is that it offers both a base model and a hybrid inference model."

"In the Gemini 3 Flash model, which achieved 93% in the zero-shot approach in the delivery route optimization task, performance dropped drastically with the addition of examples."

"I wanted an AI data analyst that could analyze my spending, spot unusual transactions, and give me clear insights — all while keeping my data 100% local."

"The article provides a framework with real measurement values to stop choosing options based on intuition."

"Based on these assumptions, we've been working on Ensu, Ente's offline LLM app. Today is our first release."

"I want to be able to run a model on ollama that can AT LEAST match or beat Claude opus, any recommendations?"

"Ollama 0.18 has directly addressed this issue, enabling true integration as a native provider of Claude Code via the /api/chat endpoint."

"This is about how to get AI to work locally by combining the above two."

"LLM prompt processing is 6.9 times faster than M1, 3.9 times faster than M4."