Browse our local AI tutorials, model comparisons and developer-tool guides.
Pin and Verify a Hugging Face Download: A Small Reproducible Example
To make a Hugging Face download repeatable, select the repository and a full commit revision, use that same revision for every file from that…
LoRA vs QLoRA: Weight Memory, Training Limits and a Fair Comparison
Short answer: LoRA trains small adapter matrices while keeping the pretrained base weights frozen. QLoRA combines adapters with a quantized frozen base to reduce…
Ollama Vision API: Send a Local Image as Base64 in Python
Short answer: In Ollama's native REST chat API, put base64-encoded image bytes in the user message's images array. A path such as ./photo.png is…
Ollama Embedding Truncation: Diagnose Long Inputs Before Indexing
Short answer: Ollama's native /api/embed endpoint defaults to truncating inputs that exceed the context window. Set truncate to false when diagnosing long-document ingestion so…
Ollama Tool Calling in Python: Validate Calls and Bound the Loop
Short answer: For Ollama's native chat API, a tool call is a proposed function name and arguments. Your application must validate it, perform the…
Ollama Empty Response? Separate Thinking from the Final Answer
Quick answer: For Ollama's native chat API, read message.content for answer text and keep message.thinking separate. An empty content field is a symptom to…
Ollama num_ctx Ignored? Check Client Context Overrides
Quick answer: If raising OLLAMA_CONTEXT_LENGTH appears to do nothing, check whether your application sends its own num_ctx. An explicit request setting can override the…
Ollama Embedding Dimension Mismatch: Check Before Reindexing
Quick answer: If an Ollama-backed retrieval app reports a vector-dimension mismatch, compare the returned vector length with the index's configured length and verify the…
Ollama keep_alive: Diagnose Reload Delays Before Tuning
Quick answer: Ollama's keep_alive setting controls how long a local model remains loaded after a request. It can help avoid a repeat load when…
Ollama Structured JSON: Validate Schemas and Evidence in Python
Quick answer: For local Ollama structured output, pass a JSON schema through the request's format field, then validate the returned message.content in your application.…
Ollama Streaming JSON in Python: Fix Extra Data Errors
Quick answer: If Python raises JSONDecodeError: Extra data while reading Ollama's native API, check whether the HTTP body contains several JSON records. Either request…
Ollama Model Not Found: Check Tags, Server and API Paths
Quick answer: When Ollama returns “model not found,” compare the requested model name with the model list from the same server your application calls.…
Ollama Troubleshooting: Connection, GPU, Model and Port Checks
Start by identifying which part failed: the local server, model download, model loading, or the application connecting to Ollama. Changing all four at once…
Ollama Model Storage Guide: Where Ollama Stores Models & How to Change Location
Quick answer: Set OLLAMA_MODELS for the process that actually runs the Ollama server. Copy the complete existing model directory while the server is stopped,…
Fix Claude Code API Error 500: Rate Limits & Timeouts
Short answer: record the exact error, provider and timestamp, check the relevant status page, then retry cautiously if the failure is transient. A direct…
Gemini CLI vs Claude Code: Setup, Models and Workflow Evaluation
Gemini CLI and Claude Code are terminal assistants that can work with project files and tools. Their observed results depend on the selected model,…
claude mcp list: Manage MCP Servers in Claude Code
If you use Claude Code for day-to-day development, the claude mcp list command lists configured servers and their reported connection status. It is one…
Claude Code Skills, CLAUDE.md and Hooks: What Each Feature Does
Skills, memory files and hooks solve different problems. A skill packages instructions for a task; a project memory file provides standing context; a hook…
How to Install Claude Code on Windows, macOS and Linux
Claude Code has native installation routes as well as package-manager alternatives. Node.js is not a requirement for the native installer. Use the official setup…
OpenCode vs Claude Code: Providers, Permissions and Task Fit
OpenCode and Claude Code are coding-agent tools. Choosing between them involves model access, permissions, deployment policy and the quality of results on your own…
Claude Sonnet vs Opus: Comparing Versions, Cost and Task Fit
Sonnet and Opus are model families, not permanent performance specifications. A useful comparison records the exact model versions, access route and evaluation date. The…
Gemini 2.5 Pro vs Claude Opus 4: Context, Cost and Use Cases
This page compares the named Gemini 2.5 Pro and Claude Opus 4 releases. It is not a ranking of the newest models. Vendor results…
How to Install Ollama on macOS: Apple Silicon, Metal & Homebrew Guide
Short answer: choose either the Ollama desktop app or a Homebrew-managed server, then verify which executable and process you are using. Current official requirements…
How to Install Ollama on Ubuntu & Linux Servers (Complete Service Setup)
Short answer: install Ollama using its official Linux installer, then verify the executable, the systemd service and the local API separately. Downloading a model…
Open-Weight Vision Models for OCR and Charts: A Practical Shortlist
Quick answer: Choose a vision model by the document or image task you need to verify. Qwen2.5-VL, LLaVA and InternVL are candidates to evaluate,…
How to Run DeepSeek Locally: VRAM, Quantization & Setup
Learning how to run DeepSeek locally has become one of the most popular projects among enthusiasts of open-source AI models. With the right hardware…
How to Install Ollama on Windows 11 & Windows 10 (WSL2 & Native Setup)
Short answer: download the native Windows installer from Ollama, run it and open a new PowerShell window. Check the command path, the local API…
Qwen 2.5 Coder vs Llama 3.1: Coding Features, Memory and Licences
Qwen2.5-Coder and Llama 3.1 target overlapping but different workloads. This comparison covers those named releases, not the newest models available today. The useful question…
Ollama Complete Guide: Setup, Models, Commands, GPU & Troubleshooting
Quick Overview: Ollama is an open-source local large language model runtime that packages GGUF model weights, a llama.cpp inference engine, and GPU acceleration into…
DeepSeek V3 vs Llama 3: MoE Efficiency, Context & Licensing
If you're weighing deepseek v3 vs llama 3 for a real deployment, the short version is this: DeepSeek V3 is a massive Mixture-of-Experts model…
Open Weights vs Open Source AI: What Is the Difference?
Short answer: Open weights means model parameters are available to download. It does not, by itself, establish permission for your intended use or access…
Best Open-Source LLMs (2026): By Use Case & Hardware
Choosing the best open source LLM in 2026 is less about one leaderboard and more about matching a model family to your hardware and…
Connect Ollama to AnythingLLM and Open WebUI: Diagnose the Network First
A frontend needs a reachable Ollama server and an installed model tag. Start with those two facts before changing application settings. The correct address…
How to Delete Ollama Models: Remove One Tag and Verify the Result
Use Ollama’s model-management command to remove an installed tag. Deleting a model, unloading it from memory and uninstalling the application are separate operations. Confirm…
Ollama Models for Coding and Roleplay: Candidates and Tests
Quick answer: Choose an Ollama coding model by running a small set of representative code tasks, and choose a roleplay model with a separate…
Llama.cpp vs Ollama: Performance and Setup Comparison
Short answer: use llama.cpp directly when you need to select and operate its build, model files and runtime controls yourself. Consider Ollama when its…
LM Studio vs Ollama: Which Local LLM Runner Is Best?
Short answer: choose the runner whose model management, serving lifecycle and API features match your application. LM Studio has desktop, CLI and headless workflows;…