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.
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.
SmolLM vs Gemma compared on size, licence, context, languages, vision and audio, local setup and fine tuning, so you can pick the right small model in 2026.
Can you run Muse Spark Open locally? Real memory needs by quant (GGUF, MLX, NVFP4), llama.cpp and MLX commands, Mac Studio setups, licence terms and limits.
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 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.