1040 related articles

Kimi K3 officially launches on Ollama Cloud as an "extra high usage" model. This guide covers free tier quotas, cloud inference experience, technical advantages, and how developers can seamlessly call this high-performance LLM.

Ollama lists Kimi 3 with extra pay-per-use fees, breaking subscription expectations and sparking debate over open-weight models and AI service pricing tiers.

In-depth analysis of Ollama Pro's $20/month subscription value, comparing usage quotas, equivalent API costs, and ZDR privacy policy to help developers decide if it's worth it.

Ollama scales up for trillion-parameter open-source models like Kimi K3 and Qwen 3.8. Hugging Face demands $100M from OpenAI, Alibaba Coder goes mobile, and DeepSeek pauses fundraising.

Deep analysis of Ollama Pro's $20/month subscription value, comparing usage quotas, equivalent API costs, and ZDR privacy policy to help developers decide if it's worth it.

Complete guide to troubleshooting Ollama performance degradation with OpenWebUI, covering num_ctx truncation, sampling parameter differences, GPU resource contention, and system prompt interference.

jlens-gguf is an open-source tool bringing Anthropic's Jacobian Lens interpretability method to GGUF and llama.cpp, enabling internal observation, real-time steering, and abliteration for both dense and MoE models.

Daedalus is an open-source local AI engineering runtime built on Ollama, covering architecture, debugging, and security. Zero token costs, full privacy, integrates with Claude Code and OpenCode.

lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.

Step-by-step guide to wrapping DeepSeek-R1 with an Ollama Modelfile — set temperature, system prompts, and run fully offline for privacy and flexibility.

Step-by-step guide to running local open-source models (Qwen3/Gemma) with Ollama, connecting to Codex via CC Switch for zero-token AI coding. Works on a 6GB VRAM laptop.

Ollama has 9M active developers and 170K GitHub stars. This guide covers its features, architecture, business model, and use cases for running LLMs locally.

A complete guide to deploying LLMs locally on RobotCore Mini using Ollama — covering model pulling, CLI verification, Web backend setup, and LAN access.

A hands-on guide to building a local AI agent and private knowledge base using Cherry Studio, MCP, and Ollama — with web scraping, report generation, and terminal control.

ExLlamaV3 v1.0.0 releases with lossless KV cache quantization via kernel fusion, removal of flash-attention-2/xformers, major GEMM/GEMV gains, and broader tensor parallelism support.

llama.cpp hits a new milestone, growing from a solo hobby project into core local AI inference infrastructure. Explore its iteration speed, GGUF quantization, and how AI coding agents are reshaping open-source development.

Want to run open-source LLMs like DeepSeek locally for free? Ollama is the easiest solution. This guide covers what Ollama is, its core advantages, and key use cases.

A college student built a ~40K-line Mac app around Ollama featuring a decoupled persistent memory system: standalone embeddings, local vector index, self-healing, AES-256 vault, and local voice mode.

Ollama is a free, open-source LLM management platform that lets you deploy open-source models like DeepSeek locally with one click. It supports macOS, Windows, Linux, and Docker, with both API and CLI modes to build private AI apps at zero cost.

A complete guide to building a local AI coding agent on a 32GB Mac: Ollama for local inference, OpenCode as the agent framework, and MCP memory servers for cross-session context. Code stays on-device, no subscription fees.