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Download models with the modelscope CLI
Common ModelScope CLI commands for downloading models. Prefer ModelScope when you are in China — downloads are much faster there.
ModelScopeUpdated hf CLI
hf is the official Hugging Face command-line tool, provided by huggingface_hub. It interacts with the Hugging Face Hub for logging in, managing repositories, and downloading models and datasets. This article covers installation, updates, hf download usage, and the difference between the default cache directory and --local-dir local directory mode.
Hugging FaceUpdated Vercel Deployment Storage
Vercel Deployment Storage holds the build output of each Deployment. This covers how the storage works, how to check usage, how to clean up historical deployments, and the default rules and protection exceptions of the Deployment Retention Policy.
VercelPublished Llama Overview
Platform characteristics, GGUF model sources, and installation for llama.cpp, plus where llama cli, llama serve, llama-completion, and GBNF Grammar fit and when to use them.
llama.cppPublished GGUF - Model File Format
Learn about GGUF, a common LLM model file format in the GGML ecosystem, frequently used for local inference, quantization, and uncensored scenarios.
AI ConceptsPublished Permissions 0644 for id_rsa are too open.
When SSH on macOS reports Permissions 0644 for id_rsa are too open, tighten the private key to 0600.
SSHPublished Install Office (Word/Excel/PowerPoint) on macOS
Notes on installing Office (Word/Excel/PowerPoint) on macOS.
macOSPublished What Are Agent Skills
What are Agent Skills
Agent SkillsPublished Layer 5: How Is a Model Loaded and Run?
Understand from a runtime perspective how an AI model is loaded from files into memory and VRAM and executes inference, and how core concepts such as Inference Engine, CPU, RAM, GPU, VRAM, precision, quantization, Offload, and KV Cache relate to each other.
ModelPublished Layer 4: How Are Models Saved and Published?
Understand from an engineering perspective how an AI model is saved from in-memory parameters and training state into files, and how weights, configuration, Tokenizer, Chat Template, Model Card, and other resources are organized and published as a model repository.
ModelPublished Layer 3: How Does a Model Turn Input into Output?
Understand from the inference pipeline how an AI model processes inputs and generates outputs, and how core concepts such as Tokenizer, Token, Embedding, Forward Pass, Logits, Sampling, and Context Window relate to each other.
ModelPublished Layer 2: How Is a Model Trained?
Understand from an end-to-end process how an AI model acquires capabilities through data and training, and how core concepts such as Dataset, Training, Pretraining, Fine-tuning, Loss, and Checkpoint relate to each other.
ModelPublished Layer 1: What Is a Model?
Understand the basic building blocks of an AI model from an engineering perspective, and how core concepts such as model, architecture, parameters, weights, configuration, and Tokenizer relate to each other.
ModelPublished Common curl Commands
Common curl commands for HTTP requests, JSON APIs, headers, downloads, and debugging.
curlUpdated Common yt-dlp Commands
Quick commands for listing formats, downloading video, extracting audio, and naming output files with yt-dlp.
yt-dlpUpdated Using MDX with Next.js
Core Markdown and MDX concepts, dependencies, and configuration in Next.js.
Next.jsUpdated use client
Declaring the Client Component boundary
Next.jsUpdated Check if a YouTube Video Has Uploaded Subtitles
Use yt-dlp to distinguish between uploaded subtitles and auto-generated captions on YouTube videos, and quickly determine subtitle status via jq, grep, or custom commands.
yt-dlpUpdated Tailscale Installer Closes Immediately on Windows Server 2016
Troubleshooting a Tailscale installation failure on Windows Server 2016.
TailscaleUpdated