🚀 Stop Guessing Which LLM Runs on Your Machine — Meet llmfit

🚀 Stop Guessing Which LLM Runs on Your Machine — Meet llmfit Running Large Language Models locally sounds exciting… until reality hits: Model too large ❌ VRAM insufficient ❌ RAM crashes ❌ Inference painfully slow ❌ Most developers waste hours downloading models that never actually run on their hardware. That’s exactly the problem llmfit solves. 👉 GitHub: https://github.com/AlexsJones/llmfit The Real Problem with Local LLMs The local-LLM ecosystem exploded: Llama variants Mistral models Mixtral MoE models Quantized GGUF builds Multiple providers But here’s the uncomfortable truth: Developers usually choose models blindly. You see “7B” , “13B” , or “70B” and assume it might work. Reality depends on: System RAM GPU VRAM CPU capability Quantization level Context window Multi-GPU availability One wrong assumption → wasted downloads + broken setups. What is llmfit ? llmfit is a hardware-aware CLI/TUI tool that tells you: ✅ Which LLM models actually run on your machine ✅ Expected performance