SmolLM vs Llama compared on benchmarks, licence, context, languages, memory and local setup, so you can choose between SmolLM3 and Llama 3.2 for your project.
SGLang vs vLLM on DGX Spark compared on setup, memory, NVFP4 models, speed and clustering, so you can pick the right server for your GB10 desktop.
Wire a local LLM into VS Code with Ollama: official Chat extension, Continue.dev for tab complete, model picks by VRAM, and privacy tips for offline coding.
Practical how to quantize LLM models: llama.cpp convert then Q4_K_M, Hugging Face bitsandbytes 4 bit loads, Ollama GGUF import, and when to use each path.
Open source LLM models to run locally: match Qwen3, Gemma 4, gpt-oss and DeepSeek R1 distill tags to your VRAM, with Ollama setup and licence caveats.
Open weight vs open source AI explained: what the OSI definition requires, which popular models are which, and a licence table checked against model cards.