#local-llm
46 posts tagged with #local-llm
Every article below is hand-written, technically reviewed, and focused on local-llm. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
Cybersecurity Verify GGUF Model Hashes Supply Chain [2026]: 10 Steps
A team-ready workflow to verify GGUF integrity: compute SHA256, require signed manifests, handle mirrors safely, scan sidecars, and ship updates via an internal registry.
![nvidia gpu graphics card close-up — illustration for article on Local LLM Break-Even Math [2026]: Power,](https://img.kunalganglani.com/images/vzekdneq/production/76beafb78b6f19b7ed6235232857078a023801c2-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning Local LLM Break-Even Math [2026]: Power, Idle, Depreciation
Most “GPU price ÷ tokens” break-even math is wrong. Here’s a spreadsheetable local LLM total-cost model that includes idle power, utilization, depreciation, failures, and opportunity cost.
AI and Machine Learning 9 Picks for the Best Local Model for Agentic Coding [2026]
A practical decision tree for agentic coding: pick local models by repo size and VRAM tier (16GB/24GB/48GB+/CPU), with context, tool-calling reliability, and quantization rules that actually hold up.
Technology Local LLM Benchmark Methodology [2026]: TTFT vs tok/s Done Right
Stop screenshot-benchmarking. Here’s a reproducible local LLM benchmark methodology for 2026 that separates TTFT from throughput and reports rerunnable results.
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.
AI and Machine Learning Gemma 4 26B CPU Inference Benchmark: 5 tok/s Production Math [2026]
A $300 Xeon from 2013 runs Gemma 4 26B at 5 tok/s with no GPU. Here's the memory bandwidth math, quantization tradeoffs, and production decision framework nobody else is covering.
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.
AI and Machine Learning The Complete Guide to AI Hardware in 2026
A complete 2026 guide to AI hardware — covering GPUs, Apple Silicon, edge devices, CPUs, and the semiconductor supply chain — so you can choose the right setup for running local LLMs and AI workloads without wasting money.
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.
![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.
![Fine-Tune Open-Source LLMs: LoRA, QLoRA, Gemma 4 [2026]](https://img.kunalganglani.com/images/vzekdneq/production/bbdfb150ddb4280a3411f8cbcf4d7f0f54cfdf63-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning Fine-Tune Open-Source LLMs: LoRA, QLoRA, Gemma 4 [2026]
A practical 2026 guide to fine-tuning open-source LLMs with LoRA and QLoRA using Unsloth + Gemma 4 — including GPU requirements, hyperparameter defaults, evaluation setup, and when to just prompt instead.
![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.
![GLM-5.2 vs Claude Fable 5: Open-Source AI Challenges the Throne [2026]](https://img.kunalganglani.com/images/vzekdneq/production/def90c1fb8ed7133b55d3c4e9e53af34f4fb6312-1200x675.webp?auto=format&fit=max&q=75&w=600)
AI and Machine Learning GLM-5.2 vs Claude Fable 5: Open-Source AI Challenges the Throne [2026]
Zhipu AI's 753B open-weight GLM-5.2 is the highest-ranking open-source model on lmarena.ai, challenging Claude Fable 5 across WebDev and Agent benchmarks — and it's already runnable locally via Ollama.
Developer Tools Homelab AI Coding Server: Run OpenCode Across All Devices [2026]
How to set up OpenCode as a persistent, PR-gated AI coding server on your homelab — accessible from every device, isolated from production, and free from vendor lock-in.
AI and Machine Learning GLM 5.2: China's Open Frontier Model Dropped the Day Anthropic Got Banned [2026]
On June 13, 2026, the US government cracked down on Anthropic's Claude Fable 5. Hours later, China's ZhipuAI open-sourced GLM 5.2 under MIT license — with a 1M context window and frontier-grade coding scores. This is what happened, why it matters, and how to use it today.
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.
AI and Machine Learning Apple M4 Max vs M5 Max for Local AI in 2026: Which Wins?
The M5 Max wins for serious local AI workloads in 2026, offering ~40% more neural engine throughput and a larger memory ceiling. The M4 Max remains the smart buy for budget-conscious developers who don't need cutting-edge inference speed.
AI and Machine Learning Mac Studio M4 Max vs RTX 4090 PC: Best Local AI Rig in 2026?
The Mac Studio M4 Max wins for plug-and-play local LLM work with massive unified memory; the RTX 4090 PC wins for raw CUDA throughput and flexibility. Your budget, workflow, and model size determine which is worth every dollar.
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.
AI and Machine Learning RTX 5090 vs RTX 4090 for AI in 2026: Which GPU Actually Wins?
The RTX 5090 wins for bleeding-edge AI training and large model inference, but the RTX 4090 remains the smarter buy for most local AI workloads in 2026. Here's exactly when each GPU earns its place.
AI and Machine Learning RTX 4090 vs RX 7900 XTX for Local LLMs in 2026: Which 24GB GPU Wins?
The RTX 4090 wins for serious local LLM inference thanks to superior CUDA ecosystem support and faster throughput; the RX 7900 XTX wins on price-per-GB for budget-conscious builders willing to navigate ROCm. Your choice hinges almost entirely on ecosystem tolerance and how much you value plug-and-play setup.
AI and Machine Learning Mixtral 8x22B vs Llama 3 70B (2026): MoE vs Dense for Production
Mixtral 8x22B wins for throughput-hungry, cost-sensitive production APIs where sparse MoE compute matters. Llama 3 70B wins for local deployment, fine-tuning, and ecosystem depth — it's simply easier to run everywhere.
AI and Machine Learning Gemma 3 vs Llama 3 (2026): Which Open-Weight LLM Actually Wins?
Llama 3 wins for ecosystem depth, community tooling, and large-scale deployments; Gemma 3 wins for hardware efficiency, multimodal tasks, and privacy-first on-device workloads. Your hardware budget and use case should decide this — not brand loyalty.
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.
Developer Tools LM Studio vs Jan (2026): Which Local LLM GUI Actually Wins?
LM Studio wins for polished UX and OpenAI-compatible APIs; Jan wins for open-source transparency and offline-first privacy. Here's exactly when to pick each.
AI and Machine Learning Apple Silicon vs NVIDIA GPU for Local LLMs in 2026: Which Wins?
NVIDIA wins on raw throughput and ecosystem depth for serious multi-GPU workloads; Apple Silicon wins on memory bandwidth per dollar and zero-friction local inference for solo developers. Your budget and batch size decide the rest.
AI and Machine Learning Intel Arc B580 vs RTX 4060 for AI Workloads in 2026: Which Budget GPU Actually Wins?
The RTX 4060 wins for production AI pipelines thanks to CUDA's mature ecosystem, but the Intel Arc B580 wins on raw memory bandwidth and value per dollar for local LLM inference. Your choice comes down to software stack, not just specs.
AI and Machine Learning Apple M4 vs M4 Max for Local LLMs in 2026: Which Should You Buy?
The M4 Max wins for serious local LLM work thanks to its unified memory ceiling and bandwidth advantage; the base M4 wins for portability and budget-conscious inference on smaller models. Here's exactly where the line falls.
AI and Machine Learning DeepSeek Coder vs Llama 3 for Coding in 2026: Which Wins?
DeepSeek Coder wins for pure coding tasks with superior benchmark scores and leaner hardware needs; Llama 3 wins for general-purpose projects needing broad reasoning, multilingual support, and a mature ecosystem.
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 Llama 3 70B vs Qwen 3 32B (2026): Which Local LLM Actually Wins for Coding?
Qwen 3 32B wins for coding tasks and hardware-constrained setups; Llama 3 70B wins for ecosystem maturity, English-first workloads, and production integrations. Here's how to choose.
AI and Machine Learning Claude Haiku 4.5 vs Llama 3 70B Local: Cost & Quality in 2026
Claude Haiku 4.5 wins for zero-ops, high-volume API workloads; Llama 3 70B wins for privacy-first, cost-at-scale self-hosted deployments. Here's the full breakdown.
AI and Machine Learning Qwen 3 vs Mistral 2026: Which Open-Source LLM Family Actually Wins?
Qwen 3 wins for coding, multilingual tasks, and raw benchmark performance; Mistral wins for European compliance, lightweight deployment, and a mature API ecosystem. 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.
AI and Machine Learning Fine-Tuning Gemma 2 for Code Generation: 31 Percentage Points of Accuracy for Under $15 [2026 Guide]
I fine-tuned Google's Gemma 2 9B model for Python code generation using QLoRA on a single GPU. Accuracy jumped from 42% to 73% — here's exactly how, what it cost, and what I learned.
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.
AI and Machine Learning Apple's M5 Max Just Made the Case for Local AI Development. NVIDIA Should Pay Attention.
128GB of unified memory at 614 GB/s in a laptop. The M5 Max isn't just a faster chip — it's a completely different approach to running large language models locally.
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.