#ollama
23 posts tagged with #ollama
Every article below is hand-written, technically reviewed, and focused on ollama. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
Developer Tools Run Local LLMs in VS Code: No Copilot Plan [2026]
VS Code now wires Ollama and LM Studio straight into Copilot Chat's model picker — no CLI, no Continue.dev, no Copilot subscription. Here's the full 2026 setup, both paths compared, plus the troubleshooting nobody documents.
Developer Tools Terminal CLI Tools for AI Developers [2026 Setup Guide]
The complete zero-to-production terminal CLI stack for AI developers in 2026: shell setup, agentic coding tools, local inference, prompt management, and the dotfiles that tie it together.
AI and Machine Learning RTX 4060 Ti vs RTX 4070 for Local LLM Inference in 2026
I'd pick the RTX 4060 Ti if you're running sub-13B models solo on a tight budget, and the RTX 4070 if VRAM headroom and generation speed actually matter to your workflow. The $150 price gap is real, but so is the performance cliff you hit at 16GB models.
Technology LM Studio vs Ollama 2026: 3 Shifts That Change Everything
LM Studio and Ollama have converged so much in 2026 that every old comparison is wrong — here's what actually matters now for choosing your local LLM tool.
AI and Machine Learning Local LLM Cost vs Cloud API: 2026 Break-Even Math [Calculator]
A workload-specific break-even framework with real per-token math — hardware amortization vs. API spend — for coding, RAG, and batch workloads in 2026.
AI and Machine Learning LLM Quantization Levels Compared: Q4_K_M vs Q8_0 vs FP16 [2026]
The practitioner's guide to choosing between Q4_K_M, Q5_K_S, Q8_0, and FP16 quantization for local LLMs — with real perplexity numbers, throughput benchmarks, and per-use-case recommendations.
AI and Machine Learning Local AI Voice Assistant Stack 2026: Whisper + Piper + Ollama Wired Together
Build a fully offline voice assistant in 2026 using Whisper STT, Piper TTS, Ollama, and Home Assistant — no cloud, no subscription, no data leaving your network.
![GGUF vs GPTQ vs EXL2: LLM Quantization Compared [2026]](https://img.kunalganglani.com/images/vzekdneq/production/34e429bea58e21d5119b5baad6b9efe44974be77-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning GGUF vs GPTQ vs EXL2: LLM Quantization Compared [2026]
A head-to-head comparison of GGUF, GPTQ, and EXL2 quantization formats with real quality, speed, and VRAM trade-offs — updated for the 2026 Hugging Face acquisition of ggml.ai.
![Linux vs Windows vs macOS for Local AI [2026 Compared]](https://img.kunalganglani.com/images/vzekdneq/production/649947e748ba7040e11ca2a4012c16e535f4ca37-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning Linux vs Windows vs macOS for Local AI [2026 Compared]
Your OS choice affects local LLM inference speed more than your model pick. Here's the benchmark-driven breakdown of Linux, Windows, and macOS for local AI in 2026.
AI and Machine Learning Local Agentic Coding Workflow in 2026: What YouTube Tutorials Get Right (And the Production Gaps That'll Burn You)
Local agentic coding is genuinely viable in mid-2026 — but the YouTube tutorials showing you how skip the failure modes that matter most in production. Here's the full picture.
Technology Hermes Agent Desktop Free With Local LLMs: The Claude Code Alternative Nobody's Billing You For [2026]
Hermes Agent runs a full coding agent on your local machine with zero API costs. Here's which models actually work, the hardware you need, and how to set it up.
AI and Machine Learning Gemma 4 12B vs GPT-4o Mini vs Claude Haiku: Is Google's Local LLM Good Enough to Replace API Calls? [2026]
I ran Gemma's 12B model locally via Ollama and compared it against GPT-4o Mini and Claude Haiku on real dev tasks — here's when the free local model actually beats paid APIs.
Developer Tools Text Generation WebUI vs Ollama 2026: Which Local LLM Tool Wins?
Ollama wins for developers who want a fast, CLI-first runtime with clean API integration; Text Generation WebUI wins for researchers and power users who need deep model control and a browser-based interface. Your choice hinges on whether you optimize for simplicity or configurability.
Developer Tools vLLM vs Ollama 2026: Production Power or Developer Ease?
vLLM wins for high-throughput production deployments where every token/second counts; Ollama wins for local developer workflows where setup speed and portability matter most. Pick wrong and you'll either over-engineer a side project or under-power a real API.
Developer Tools Ollama vs llama.cpp 2026: Which Local LLM Tool Actually Wins?
Ollama wins for developers who want a fast, polished setup with REST APIs and model management. llama.cpp wins for power users squeezing every last token of performance from their hardware.
Developer Tools Ollama vs Llamafile 2026: Which Local LLM Tool Actually Wins?
Ollama wins for developers who want a persistent API server with a rich model library and ecosystem integrations. Llamafile wins for anyone who needs zero-install portability — one executable, any machine, no setup.
AI and Machine Learning Llama 3 8B vs Qwen 3 7B (2026): Which Small LLM Actually Wins on Your Laptop?
Qwen 3 7B wins for multilingual tasks, reasoning, and coding on modern hardware; Llama 3 8B wins for ecosystem maturity, English-first workloads, and plug-and-play local deployment. Here's the full breakdown.
AI and Machine Learning Run Gemma 3 Locally on Windows: The VRAM Guide Nobody Gave You [2026]
I break down exactly how much VRAM you need for every Gemma 3 model size, the Ollama setup on Windows with NVIDIA GPUs, and the performance tweaks that actually matter.
Technology Portable LLM on a USB Stick: Offline AI Setup [2026]
Run a full LLM from a USB drive with zero internet. Covers Ollama portable setup, LM Studio on external drives, USB Uncensored LLM migration, and GGUF model selection with real performance numbers.
Technology Gemma 3 on Raspberry Pi 5: Benchmarked [2026]
I benchmarked every runnable Gemma variant on a Raspberry Pi 5 — Gemma 3 1B, 4B, QAT models, and Gemma 3n — with real tokens-per-second numbers, RAM usage, and a definitive size guide for Pi owners.
AI and Machine Learning Local LLM vs Claude for Coding: $500 GPU Benchmarked [2026]
I benchmarked an RTX 4070 Ti Super against Claude Sonnet 5 across 50 real developer tasks. Updated for Qwen3-Coder, new pricing, and how to use Claude Code with a local LLM backend.
Technology AMD ROCm vs CUDA for Local AI [2026 Compared]
After months of running LLMs on AMD hardware, here's the brutally honest comparison of ROCm vs CUDA that no marketing page will give you — covering real performance, setup friction, and which GPUs actually work.
Technology Local LLM Hardware Guide 2026: VRAM, GPUs, and Setup [Tested]
Every VRAM tier, GPU option, and runtime tool mapped out for running local LLMs in 2026 — from budget CPU-only rigs to RTX 5090 and Apple Silicon M5 workstations.