Tinygrad vs MLX compared for Apple silicon and beyond: hardware support, lazy graphs, JIT and compile, LLM tooling, install and which framework fits 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.
Recursive Flint is an Apache 2.0 coding model with 40B total and 2.5B active parameters. How to run Flint locally with Ollama, llama.cpp, rec or Unsloth.
Run Liquid AI LFM2.5-24B-A2B locally with Ollama, llama.cpp or MLX: VRAM by quant, Q4_K_M sizes, Ollama 0.17.1 caveat, sampling settings and agent tips.
Run DeepSeek Locally with Ollama: pick R1 distill tags by download size, set context length, handle thinking output, and know when 671B V3 is server only.
Run Qwen 3.6 locally with Ollama, llama.cpp or LM Studio: pick 27B or 35B-A3B by VRAM, thinking mode, vision tips, MTP speedups and sampling settings.